1471results about "Testing/calibration for volume flow" patented technology

The invention relates to the technical field of flow measurement calibration, in particular to a flow instrument intelligent calibration system based on multi-sensor fusion, which comprises a data acquisition unit, a deep coupling compensation unit and a closed loop verification unit, a data acquisition unit obtains a differential pressure value, an environment temperature, a pipeline pressure, a vibration frequency spectrum and sensor accumulated working time, a depth coupling compensation unit constructs an aging prediction model based on a Weibull distribution life model, and a temperature-pressure coupling equation and a vibration compensation mechanism are combined to obtain an aging real-time value and a time sequence deviation. Multi-parameter coupling characteristics are extracted through a neural network, an environment disturbance compensation coefficient matrix is constructed, a joint compensation amount is generated through dynamic weight distribution, a closed-loop verification unit optimizes model parameters, the problems that multi-source disturbance coupling analysis is insufficient and calibration precision is low in the prior art are solved, accurate calibration of a flow instrument under complex working conditions is achieved, and the calibration precision is improved. The metering stability is improved.

The invention provides an online calibration method and system for a flowmeter of a natural gas well, and belongs to the technical field of natural gas exploitation and transportation, firstly, a multiphase flow state sensing signal in a transportation pipeline of the natural gas well and a structural deformation monitoring signal of the flowmeter to be calibrated are obtained, and then interactive interference characteristic analysis is conducted on the two kinds of signals; the method comprises the following steps: obtaining a flow state-deformation interaction interference characteristic set, generating a multiphase flow adaptive calibration factor based on the flow state-deformation interaction interference characteristic set, inputting the multiphase flow adaptive calibration factor into a metering signal processing unit to dynamically correct an original metering signal, and obtaining a corrected metering output signal; and finally, collecting matching degree data of the correction signal and the real-time multiphase flow state sensing signal to form a calibration adaptive feedback signal, thereby comprehensively considering the influence of the multiphase flow state and structural deformation, and improving the metering precision and reliability of the flowmeter.

The invention provides a gas ultrasonic transducer fast matching method, device and equipment and a storage medium, original measurement data such as flight time are obtained by deploying an ultrasonic transducer in a gas ultrasonic flowmeter in a gas conveying pipeline, and multi-dimensional data acquisition is carried out in combination with other sensor parameters. Wavelet noise reduction and dynamic time warping processing are carried out on collected signals, signal quality and time sequence consistency are improved, time domain, frequency domain, environment and statistical features are extracted, and multi-dimensional feature vectors are formed. Modeling is carried out through a time sequence feature branch and an environment feature branch, weighted fusion is carried out by adopting an attention mechanism, and the recognition capability of the model on key features is enhanced. A machine learning model is trained based on fusion features, a multi-objective loss function and a data enhancement strategy are adopted, the prediction precision and generalization ability of the model are improved, and a compensation value is output to calibrate the original traffic in real time. According to the method, the accuracy and stability of gas flow measurement in a complex environment are effectively improved, and the method has a good engineering application prospect.

The invention relates to the technical field of flow measurement and control, and particularly discloses a cheese filling flow real-time calibration control method and system.The cheese filling flow real-time calibration control method comprises the following steps that working condition information of cheese in a filling pipeline is collected in real time, and the working condition information comprises the temperature, the pressure, an original flow signal, the pump rotating speed and the proportional valve opening degree; dynamically selecting a filtering order according to the signal-to-noise ratio of the original flow signal, and outputting the filtered flow; and based on the acquired working condition information, predicting the dynamic viscosity of the cheese in real time through a neural network, fitting a flow-working condition relation function and calculating a target flow value. The signal-to-noise ratio of an original flow signal is dynamically adapted to optimize filtering processing, signal distortion caused by interference such as temperature drift and mechanical vibration is effectively eliminated, and the flow detection precision is improved; by means of the neural network, the dynamic viscosity of cheese is predicted in real time, the model is dynamically adjusted, the problems that traditional viscosity estimation lags behind, and the batch adaptability is poor are solved, and an accurate basis is provided for flow target value calculation.

The invention relates to the technical field of flow measurement, and discloses a multiphase flow flowmeter dynamic compensation system, which comprises a multi-modal data acquisition module, a dynamic compensation module and a dynamic compensation module, the feature extraction and standardization module performs frequency domain conversion and feature extraction on the data to generate a fusion feature matrix; the graph structure modeling module constructs a graph model based on the fusion features and extracts graph feature vectors; the compensation optimization module obtains an optimal compensation parameter through Bayesian optimization; the flow estimation module generates a compensated flow value according to the optimal compensation parameter; and the adaptive feedback module calculates a flow residual error and updates the graph structure modeling module and the compensation optimization module. By introducing a dynamic compensation and self-adaptive feedback mechanism, the method can adapt to the change of the flowing state of the multiphase flow in real time, the precision and stability of flow estimation are effectively improved, the problem that a traditional method is difficult to quickly respond to flow pattern change and working condition fluctuation is solved, and the real-time performance and reliability of flow measurement are remarkably improved.

The embodiment of the invention relates to the technical field of semiconductor manufacturing, in particular to a volume calibration method, a controller and a gas mass flow verification system. Obtaining an accurate second volume verification parameter of the calibration tank when the second pipeline space is in a gas stable state, and calculating an accurate and high-precision second volume of the second pipeline space by combining a first volume verification parameter and a first volume of the calibration tank when the fourth valve is in a closed state; a target mole of gas in the calibration tank is diffused to a target pipeline space, an accurate third volume verification parameter of the calibration tank is obtained when the target pipeline space is in a gas stable state, and a third volume verification parameter of the calibration tank is obtained by combining a first volume verification parameter and a first volume of the calibration tank when a fourth valve is in a closed state; the third volume of the third pipeline space is accurate and high in precision, and the requirement of the semiconductor technology for volume precision is met.

The invention relates to a method (100) for correcting measured values ​​of a mean flow velocity of a medium flowing through a pipeline, determined by means of an ultrasonic flow meter (1), wherein several ultrasonic transducers (10) are arranged on or in the pipeline (50) or a measuring channel (60) integrated into the pipeline and span an arrangement of at least three signal paths, wherein an electronic unit (20) operates the ultrasonic transducers, evaluates measurement signals from the ultrasonic transducers and outputs corrected measured values ​​of the mean flow velocity, where the electronic unit is used at each time period - using the measurement signals from ultrasonic transducers for each signal path, a local flow velocity of the medium is calculated, - calculated at least one, in particular dimensionless, functional relationship between local flow velocities from calculated local flow velocities, - calculates a baseline measurement for the average flow velocity from at least one specific local flow velocity, the base measurement value is corrected and output using a correction factor determined by comparison.

The invention discloses an intelligent water meter operation monitoring method and system based on the Internet of Things, and relates to the technical field of intelligent water meters. According to the method, a disturbance consistency scoring index Ipd and a behavior map variation score Simv are constructed, and a multi-parameter coupling backtracking risk grade scoring function Rtrace is introduced; the disturbance sudden change intensity, the period stability, the flow direction consistency and the historical behavior deviation degree can be comprehensively considered, and the recognition precision of the unnatural disturbance water flow and the potential abnormal water consumption behavior is effectively improved. Particularly, under the condition that disturbance abnormity and behavior map abnormity are coupled, secondary comparison evaluation is carried out on a backtracking risk grade scoring function Rtrace and a risk interval threshold value, so that risk judgment and risk grade division with higher distinction can be realized, illegal water taking, backflow and backward flow and other abnormal water consumption behaviors can be accurately locked under the condition of a low misjudgment rate, and the accuracy and the reliability of the system are improved. And the intelligent sensing capability and the behavior modeling reliability of the urban water supply system are enhanced.

The invention discloses a self-adaptive metering method of an ultrasonic water meter, which relates to the field of water meter metering, and comprises the following steps: acquiring real-time water temperature data and real-time flow velocity data of a measured fluid, compensating the sound velocity of ultrasonic waves based on the real-time water temperature data to obtain a first compensated sound velocity, based on the first compensation sound velocity, an excitation voltage self-adaptive adjustment strategy with ultrasonic wave head-wave ratio regulation and control and a measurement frequency dynamic regulation and control strategy are executed, secondary compensation is conducted through a built error curved surface compensation model with the water temperature and the flow velocity as indexes, and the initial flow value is corrected through an error compensation value; by means of multi-parameter collaborative real-time optimization, high-precision measurement and low-power-consumption operation under all working conditions are achieved, the measurement precision in the full-scale and full-temperature range is remarkably improved, and by intelligently adjusting the measurement frequency, cooperating with the flow rate change rate and error model feedback and dynamically balancing the dynamic response speed and static power consumption, the measurement precision is improved. And finally, double optimization of precision and energy efficiency is achieved.

The invention discloses a high-precision electrical calibration method and system for a wedge flowmeter. The method comprises the following steps: step 1, data acquisition and preprocessing; step 2, dynamic working condition identification; 3, updating the self-adaptive model; 4, multi-source data fusion calibration is carried out; and 5, performing closed-loop verification and compensation. According to the invention, multiple types of signals are collected in real time through the multi-dimensional sensor array and de-noised to construct a data set, so that comprehensive and accurate data collection is realized, and a good basis is provided for calibration; carrying out dynamic working condition identification by utilizing a support vector machine, triggering model updating, and endowing calibration with dynamic self-adaptive capability; model parameters are updated by adopting a recursive least square method, compensation items are established, and the characterization capability of the model is enhanced; a calibration coefficient is generated by means of a data fusion algorithm, and the calibration precision is improved; through verification and compensation of a digital twinborn model, traditional defects are effectively overcome, model transplantation errors are reduced, the measurement precision of the wedge flowmeter is improved under extreme working conditions, and production stability and product quality are guaranteed.

The invention discloses a non-linear error correction method for an electromagnetic flowmeter based on machine learning. The non-linear error correction method comprises the steps that 1, original monitoring data, working condition parameters and a reference calibration flow value of the electromagnetic flowmeter are collected; 2, performing data preprocessing to obtain a standard feature vector sequence and an original error sequence; 3, performing cycle and trend error feature modeling on the standard feature vector sequence through an improved TimeMixer network; 4, taking the original error sequence as a supervision label, and calculating a joint loss function; 5, designing a double-stage error correction strategy to carry out trend correction and period correction, and generating a corrected flow value sequence; 6, executing physical consistency constraint on the corrected flow value sequence to generate a credible corrected flow value sequence; and step 7, updating the improved TimeMixer network and the credible correction flow value sequence. According to the invention, the measurement precision and the operation stability of the electromagnetic flowmeter under non-linear interference are improved.

The invention belongs to the technical field of flow instruments, and provides a dynamic compensation and error correction system of a high-precision flow instrument, which comprises a multi-dimensional data acquisition and preprocessing module, a module capable of being additionally provided with a sensor, a module for establishing a data stream with a timestamp and processing data, a module for fluid network modeling and priori knowledge construction, and a data processing module. A distributed collaborative optimization and parameter calibration module capable of constructing a directed graph model and generating initial compensation parameters; a network association reasoning and dynamic weight distribution module capable of adding a global penalty term to optimize parameters on the basis of a traditional error function; a working condition adaptation calibration and cross-domain parameter migration module capable of constructing an association graph, detecting abnormity and distributing weights; real-object-free calibration and parameter migration can be realized; according to the system, through multi-module cooperation, the problem that traditional single-table compensation is local and is not global is solved, and high precision and real-time performance of industrial-grade cooperative metering are supported.

The invention provides a compensation method of a differential pressure flow transmitter, electronic equipment and a computer program product. Relates to the technical field of nuclear power. In view of the problem of low measurement accuracy of a traditional differential pressure flow transmitter, the method comprises the following steps of: calibrating reference positions of a first wide-range transmitter and a second wide-range transmitter in a system zero-flow state; in a system target range section, measuring difference values of the calibrated first wide-range transmitter and the calibrated second wide-range transmitter relative to a reference value are obtained; when the measurement difference value is greater than a preset comprehensive uncertainty, calculating a first flow correction value of the first wide-range transmitter and a second flow correction value of the second wide-range transmitter based on a flow compensation model; and when the relative error of the first flow correction value and the second flow correction value is within a preset cross comparison standard, calculating a flow compensation value of the wide-range transmitter based on a cooperative compensation model. The embodiment of the invention can improve the measurement accuracy and the stability of water level control.

The invention discloses a fixed-point calibration and precision compensation method of a differential pressure type flowmeter and related equipment, and relates to the field of fluid measurement, and the method comprises the following steps: connecting the differential pressure type flowmeter to be calibrated and a standard flowmeter in series in the same gas path, and respectively collecting front-end pressure, front-back pressure difference of a laminar flow element and gas temperature; and a volume flow calculation model is established based on the structure parameters of the laminar flow element. Under the condition that a standard flowmeter outputs constant flow, fixed-point calibration is conducted on the flowmeter at a plurality of discrete temperature nodes and a plurality of discrete pressure nodes, a temperature compensation factor and a pressure compensation factor are determined respectively, and a continuous temperature compensation function and a continuous pressure compensation function are constructed through B-spline curve fitting. And substituting the compensation function into a volume flow calculation model to form a compensation volume flow model, and correcting the output of the differential pressure type flowmeter. And the influence of temperature change and pressure change on the flow characteristics and geometric characteristics of the laminar flow element can be effectively eliminated.

The invention discloses a volume tube standard volume value calibration method based on response time of an electromagnetic directional valve. A high-speed camera starting signal is triggered when the volume tube baffle triggers the approach detection switch, and the high-speed camera is started to shoot to obtain a dithering image when the electromagnetic reversing valve is opened. Then, the gray response value of the shaking image of the electromagnetic reversing valve is extracted, the gray response value is drawn into a graph along with the change of time, the graph is analyzed, and the frame number corresponding to the first wave crest of the graph is the opening duration of the electromagnetic reversing valve. Similarly, the closing duration of the electromagnetic reversing valve is obtained, the difference between the two durations is obtained to obtain the response time difference, the response time difference is substituted into the volume loss formula to be calculated, and the standard volume value loss volume when the volume pipe standard volume value is calibrated is obtained. According to the invention, a high-speed camera technology is introduced as an observation means, and the real opening time and closing time of the electromagnetic reversing valve can be measured actively, objectively and directly by accurately capturing and analyzing the high-speed images.

The invention discloses a mobile small-flow flowmeter online calibration system and method, and belongs to the technical field of flow metering calibration. The system comprises a test pipeline, a start-stop valve group connected with a calibrated flowmeter in series, a weighing container, a high-precision electronic balance and a full-automatic control system. The system is characterized by further comprising an automatic emptying system which is kept physically separated from the weighing container during measurement and automatically descends to enter the container to empty liquid after measurement is finished; and the windproof vibration isolation system integrally wraps the high-precision electronic balance and the weighing container and is used for isolating environment airflow and mechanical vibration. Through the non-contact emptying and environment isolation design, the interference of the outside on the weighing precision is fundamentally eliminated, the technical problems of low field calibration precision and poor repeatability of the mobile small-flow flowmeter are solved in combination with the full-automatic control process, and the mobile small-flow flowmeter has the advantages of high calibration precision, high automation degree and high reliability.

The embodiment of the invention relates to the technical field of semiconductor manufacturing, in particular to a flow detection method, a controller and a gas mass flow verification system. According to the embodiment of the invention, the gas output module is used for transmitting the gas to the first pipeline space, after the first pipeline space enters the gas stable state, the second valve is closed, the gas output module is controlled to stop outputting the gas, and the first target volume parameter of the fifth pipeline space after entering the gas stable state is obtained; controlling the gas output module to output the gas again and controlling the second valve to be opened, and closing the second valve and controlling the gas output module to stop outputting the gas after the first pipeline space enters the gas stable state and the ventilation condition meets the preset condition. And acquiring a second target volume parameter of the fifth pipeline space after the fifth pipeline space enters the gas stable state again, and accurately calculating the gas flow according to the first target volume parameter and the second target volume parameter, so that the accuracy of gas flow measurement is improved, and measurement verification of the gas flow is realized.

The invention relates to the technical field of profound hypothermia metering, and provides a low-temperature flow measuring device, an error calibration method and a measuring method.The device comprises a fluid source used for providing low-temperature fluid; an inlet of the measuring pipeline is connected with a fluid source; the measuring pipeline is connected with a detected flowmeter; the standard receiving tank is connected with the outlet of the measuring pipeline, and the standard receiving tank and the outlet of the measuring pipeline have two states of connection and disconnection; the static weighing module is used for statically weighing the standard receiving tank in a static measurement mode; and the dynamic weighing module is used for enabling the standard receiving tank to be separated from the static weighing module in the dynamic measurement mode and dynamically weighing the standard receiving tank. Through the arrangement, the final dynamic measurement result can ensure the traceability to the quality and the accuracy of the time reference, and has the advantages of continuous monitoring, rich data and efficient operation of the dynamic method, so that a high-performance dynamic flow measurement reference with both the accuracy of the static method and the continuity of the dynamic method is constructed.

The invention relates to the technical field of flow measurement, in particular to a gas flow self-adaptive compensation method for an MEMS (micro-electromechanical system) thermal sensor, which utilizes a sensor comprising a micro heater, a temperature sensing element, an auxiliary thermal sensing unit and a micro-disturbance temperature sensing unit to perform multi-dimensional compensation. The method comprises the following steps: applying a multi-frequency thermal excitation signal to a micro heater, performing frequency domain analysis, and extracting a gas feature signature to determine a normalized conversion factor for compensating gas component change; meanwhile, an auxiliary thermal sensing unit is used for monitoring long-term drifting of the sensor under the condition that measurement is not interrupted, and online self-correction is carried out on a main response curve; in addition, a dynamic turbulence index is generated through a micro-disturbance temperature sensing unit, and a compensation model is selected or fused according to the dynamic turbulence index to adapt to a non-ideal flow field. Finally, according to the method, an accurate gas flow value is output by integrating compensation information in the three aspects, and the problems of poor adaptability and low reliability in the prior art are solved.

The invention provides a method for correcting the outflow coefficient of a sonic nozzle and a method for correcting the flow of gas flowing out of the sonic nozzle, and belongs to the technical field of metrology. The method for correcting the outflow coefficient of the sonic nozzle comprises the steps that according to Reynolds number traceability calculation values under different stagnation conditions, a theoretical calculation value during outflow coefficient traceability is obtained; according to the outflow coefficient traceability value, the Reynolds number traceability calculation value and the outflow coefficient traceability theoretical calculation value under different stagnation conditions, obtaining a correction relationship among the Reynolds number traceability calculation value, the outflow coefficient traceability value and the outflow coefficient traceability theoretical calculation value under any stagnation condition during traceability; and according to the Reynolds number calculation value, the outflow coefficient theoretical calculation value and the correction relation under any stagnation condition during actual measurement, an outflow coefficient correction value under any stagnation condition during actual measurement is obtained. The method for correcting the outflow coefficient of the sonic nozzle is not limited by the Reynolds number, and the outflow coefficient of the small-throat-diameter sonic nozzle under different stagnation conditions can be accurately calculated.

The invention discloses a sewage discharge outlet flow real-time monitoring system based on water quality parameter linkage, and relates to the technical field of environmental monitoring. Through adaptive sampling period switching driven by abnormal fractions, the system is enabled to maintain low frequency in a normal state, and enters encrypted sampling when the risk rises; therefore, the capability of capturing short-time events is improved on the premise that the full-time data volume is not remarkably increased, key process fragments before triggering are reserved through the annular cache, and the integrity of event restoration and tracing is enhanced; an abnormal source is split into two types of information, namely deviation of flow relative to a self reference state and residual deviation of a flow-water quality coupling relationship, and the two types of information are normalized to a unified scoring scale and then are fused and output, so that abnormal judgment is expanded from single-point amplitude judgment to comprehensive identification of trend, fluctuation scale change and cross-parameter consistency damage. Therefore, the sensitivity to hidden modes such as non-significant change of flow and continuous deterioration of water quality is improved.

A method of measuring the flow rate of a fluid includes a first ultrasonic signal being transmitted and received with the flow and a second ultrasonic signal being transmitted and received against the flow on a measurement path obliquely to a direction of flow of the fluid. A first time of flight of the first ultrasonic signal and a second time of flight of the second ultrasonic signal are determined and the flow rate is determined from a time of flight difference. The ultrasonic signals have a plurality of periods of a carrier frequency having an amplitude modulated in accordance with an envelope and a respective reception point in time of an ultrasonic signal is fixed from a selected oscillation of the ultrasonic signal that is selected with reference to the progression of the envelope for the determination of the times of flight.

The invention relates to the technical field of flow sensors, and discloses a fuel flow sensor which comprises a shell assembly, a support is installed in the middle of the shell assembly, a first bearing is fixedly connected to the inner side of the support, and a turbine shaft is installed in the first bearing. An outer sealing sleeve for limiting the first bearing is installed at the rear end of the turbine shaft in a matched mode through threads, a first turbine is installed at the front end of the turbine shaft through a nut, and a second bearing is installed in the middle of the turbine shaft in a sleeved mode. According to the fuel flow sensor, the first turbine and the second turbine are installed in the shell assembly, the second turbine is arranged at the rear end of the first turbine, when oil flows, the first turbine and the second turbine are sequentially driven by the oil to rotate, the detection accuracy can be improved through a dual detection mode, and the detection efficiency is improved. And the rotating speed difference between the first turbine and the second turbine is observed, so that the detection structure can be accurately limited, and the detection accuracy of the detection structure is ensured.

The embodiment of the invention relates to the technical field of semiconductor manufacturing, in particular to a volume calibration method of a front-end pipeline, a controller and a gas mass flow verification system. According to the embodiment of the invention, the target mole of gas in the calibration tank is diffused to the first pipeline space, and the accurate second volume verification parameter of the calibration tank is obtained when the first pipeline space is in the gas stable state, so that the calibration accuracy is improved by combining the first volume verification parameter and the first volume of the calibration tank when the fourth valve is in the closed state. And calculating to obtain the accurate and high-precision target volume of the first pipeline space to meet the requirement of the semiconductor process on volume precision, and calculating the accurate and high-precision fourth volume of the fourth pipeline space to meet the requirement of the semiconductor process on volume precision by combining the second volume of the second pipeline space and the third volume of the third pipeline space.

The invention provides an error checking method and system of an intelligent water meter, and relates to the technical field of error checking of the intelligent water meter, and the method comprises the following steps: collecting multi-modal monitoring data of the intelligent water meter; performing signal preprocessing on the water flow acoustic signal and the mechanical vibration signal to generate an acoustic fusion signal, extracting time-frequency domain features of the acoustic fusion signal related to errors, and constructing an optimal error feature set; performing pattern recognition based on the optimal error feature set and a preset standard verification feature library to generate an error preliminary result; constructing an error prediction and verification model, verifying the error preliminary result in combination with the optimal error feature set and the flow data, and outputting an error verification result; when the error grade reaches a preset error grade threshold value, an early warning mechanism is triggered, and early warning information is pushed, so that the metering performance of the water meter can be evaluated in real time, the error change trend can be dynamically predicted, the timeliness and effectiveness of error verification are effectively guaranteed, and the dynamic error management and control requirements of the intelligent water meter are comprehensively met.

The invention relates to the technical field of multi-mode ultrasonic flow nonlinear error compensation scheme design, in particular to a multi-mode ultrasonic flow nonlinear error compensation method and system. The method comprises the following steps: acquiring propagation time data of different sound wave paths through a multi-ultrasonic transducer array; extracting a multi-modal characteristic parameter reflecting the nonlinear characteristic of the fluid; abnormal types such as bubble interference, solid impurities or turbulence are identified based on the characteristic parameters; calling a preset compensation model which is matched abnormally to generate a dynamic correction parameter; and fusing the parameter and the path weight coefficient to reconstruct an accurate flow value. The system is correspondingly provided with a sensing module, a feature extraction module, an interference identification module, a dynamic compensation module and a flow reconstruction module. The measuring bottleneck of a traditional flowmeter in complex fluid is broken through, and through the synergistic effect of interference type recognition and a dynamic compensation model, the measuring precision, the environmental adaptability and the long-term stability under the complex working condition are remarkably improved.

The invention discloses a fuel gas metering variable component influence detection system and method, the system comprises a gas distribution regulation and control module, a standard metering module, a signal acquisition module, a closed-loop control module, a medium replacement module and a data processing module, and all the modules are connected through pipelines, circuits and data transmission lines to form a mechatronics detection system. According to the method, multiple times of vacuumizing and nitrogen filling operation are executed through the medium replacement module to isolate oxygen, and a detection medium is filled through the natural gas standard gas cylinder; the gas distribution regulation and control module regulates gas components, the standard metering module controls flow and metering volume, the signal acquisition module synchronously acquires multiple parameters, the closed-loop control module dynamically regulates and controls system parameters, and the data processing module calculates errors and stores data. According to the system and the method, the medium purity and the detection precision are improved, and the detection requirements of diversified fuel gas components can be met.

The invention provides a mass flow meter measurement compensation method and system combined with pipeline stress perception, and relates to the technical field of instrument correction. The method comprises the steps that an original stress data set is obtained; constructing a stress characteristic parameter set; constructing a sensor parameter set; based on the stress characteristic parameter set and the sensor parameter set, calculating the stress variation of the pipeline in the axial direction, the radial direction and the torsion direction to obtain a stress variation data set; utilizing the stress change data set and the sensor parameter set to establish a coupling model of the pipeline stress change to the vibration frequency and the phase signal of the sensing pipe, and calculating a corrected mass flow value; according to the comparison result of the corrected mass flow value and the calibration point in the long-term operation process, a parameter optimization algorithm is applied to conduct self-adaptive adjustment on the coupling coefficient, and coupling model optimization is achieved. The technical problem of measurement deviation caused by external stress, structural deformation and dynamic load in the prior art is solved.

The utility model discloses a real gas supply system which is characterized by comprising a pure gas module, a mixed gas module and a component analysis module, the pure gas module is provided with a plurality of pure gas output interfaces which are used for outputting combustible gas or / and non-combustible gas and can be opened and closed; the gas mixing module comprises a real gas storage tank which is hermetically communicated with each pure gas output interface, the real gas storage tank is also provided with a real gas output interface which is provided with a control valve and a one-way valve, and the real gas output interface is used for being connected into a verification real gas circulating loop through a tee joint; the outer side wall of the solid gas storage tank is also provided with a component detection interface which is hermetically communicated with the inner cavity; the component analysis module comprises an opening and closing valve, a pressure reducing valve, a one-way valve and a gas chromatograph, and a component detection interface of the solid gas storage tank is sequentially and hermetically communicated with the opening and closing valve, the pressure reducing valve and the one-way valve through a pressure-resistant pipe and then hermetically communicated with a gas detection interface of the gas chromatograph. The utility model further discloses a real gas flow high and low temperature verification system comprising the real gas supply system.

The invention discloses an anti-blocking measurement and control system for a wedge-shaped flow meter, particularly relates to the technical field of industrial flow monitoring, and aims to solve the problems of flow measurement distortion and maintenance lag caused by winding type local blockage due to the fact that flexible impurities such as fibers and viscous substances in fluid cannot be effectively identified in the prior art. According to the system, through frequency domain energy analysis and time domain multi-scale entropy attenuation fitting of differential pressure signals, the low-frequency energy proportion and high-frequency noise abrupt change characteristics of flow field distortion are extracted, a winding risk coefficient is generated through dynamic fusion in combination with fluid characteristics, directional pulse cleaning is accurately triggered, and a signal zero point is calibrated in a closed loop mode. According to the technical scheme, signal detection, feature analysis, risk judgment and control execution full links are covered, real blockage and instantaneous interference are effectively distinguished, the limitation of traditional threshold value alarm or periodic cleaning is avoided, and the measurement precision and maintenance efficiency under the complex working condition are remarkably improved.