810results about "Testing/calibration for volume flow" patented technology

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 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 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 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.

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 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 discloses an anti-electromagnetic interference coding method and system for a pulse sequence of an ultrasonic flowmeter, and relates to the technical field of industrial measurement. The method comprises the following steps that a pulse sequence of the ultrasonic flowmeter in the working process is obtained; the pulse sequence is processed, and the electromagnetic interference type is identified through machine learning; constructing a final feature matrix based on feature enhancement of an acoustic-electric coupling factor; a dynamic coding generation strategy: receiving an original pulse sequence output by the TDC chip, and selecting a coding scheme according to the current interference type; and error feedback calibration is carried out by adopting a bidirectional propagation time correction formula. Real-time interference classification is carried out through machine learning, and FPGA hardware completes level coding switching, so that a signal spectrum dynamically avoids an interference frequency band, and the anti-electromagnetic interference capability of the ultrasonic flowmeter is improved.

The invention discloses a real-time monitoring control system based on a thermal flow sensor and a controller, and relates to the technical field of sensor monitoring. According to the real-time monitoring control system based on the thermal flow sensor and the controller, the method comprises the steps that S1, sensor monitoring data and historical statistical data are preprocessed; s2, lagging and response time dynamic characteristics are extracted; performing modal decomposition, phase estimation, peak calculation and steady-state noise analysis; s3, executing phase compensation, peak value recovery and enhancement compensation judgment; recording a residual sequence and a compensation parameter, and outputting optimized flow data; s4, constructing a credibility interval and dynamic consistency score synthesis control credibility mark; and executing security constraint and prediction filtering and archiving. The problems that an existing thermal flow sensor generates obvious phase lag and peak smoothing distortion due to the influence of thermal diffusion thermal inertia under the rapid fluctuation and pulsation working conditions, and the real-time monitoring precision and the closed-loop control stability are difficult to guarantee due to the lack of an online dynamic response analysis and compensation mechanism are solved.

The invention relates to a method for calibrating an ultrasonic flowmeter, which is coupled to a pipe (1), for measuring a flow velocity or a volumetric flow rate of a fluid by means of two ultrasonic transducers (2, 3) spaced apart from one another, wherein the main directions of the ultrasonic transducers (2, 3) are oriented at an angle to one another in a symmetrical V shape. The aim of the invention is to provide an improved method which allows the ultrasonic flowmeter to be installed on a pipe with minimal effort, even by untrained personnel, without the accuracy of the measurement being impaired. For this purpose, the invention proposes the following steps: - ascertaining the propagation speed of an ultrasonic signal propagating through the pipe wall as a surface wave; - ascertaining the wall thickness of the pipe by determining the propagation time of an ultrasonic signal through the pipe wall; - ascertaining the inner diameter of the pipe by deriving it from the value of the adjusted angle and the distance of the ultrasonic transducers, - adjusting the angle to the ascertained pipe geometry by means of at least one motorized actuating drive (5) which sets the angle and an electronic calibration device (6) which interacts with the actuating drive (5).

The invention relates to the technical field of detection and calibration, and particularly discloses an efficient flowmeter detection and calibration method based on gravitational potential energy, which comprises the following steps: S1, building a detection and calibration device which comprises a height-adjustable water tank, a capacitance liquid level sensing unit, a water inlet control unit, a flow regulation and calibration unit and a control and display unit; s2, liquid level signals in the height-adjustable water tank are collected in real time through a capacitance liquid level sensing unit and fed back to a control and display unit, the control and display unit regulates and controls an execution element of a water inlet control unit, and the liquid level difference in the water tank is stably controlled within a preset threshold value; and S3, the installation height of the height-adjustable water tank is adjusted to change the gravitational potential energy of the fluid. The method effectively solves the problems of poor range adaptability, insufficient precision, low efficiency and the like in the existing flowmeter calibration technology, has universality, stability, high precision and high efficiency, and is suitable for flowmeter batch calibration scenes in the fields of industrial production, energy metering and the like.

A method for operating an ultrasonic measuring device, which includes: an arrangement of ultrasonic transducers for emitting and receiving ultrasonic signals along at least two signal paths through a fluid, wherein the arrangement is held by a holding apparatus having at least one wall, wherein sections of the signal paths run through at least one of the at least one wall, wherein signal path sections of at least two signal paths in the fluid are of different length; and an electronic measuring / operating circuit configured to perform the method of, in a first method step, comparing intensities of ultrasonic signals along signal paths having signal path sections of different length in the fluid and, in a second method step, determining a damping property of the fluid and an acoustic coupling property between the wall and the fluid therefrom.

A method for managing energy-saving early warning of a smart gas flowmeter is provided. The method is executed by a smart gas management platform. The method comprises obtaining a remaining power of the smart gas flowmeter, determining a confidence level of the remaining power based on at least environmental data, determining a calibrated power by calibrating the remaining power based on the confidence level, determining whether to issue a power alert to a gas user based on the calibrated power, operation data of the smart gas flowmeter, and at least one reference correspondence. The reference correspondence represents a relationship between an operation behavior of the smart gas flowmeter and a power consumption. The method also comprises generating an energy-saving management and operation scheme of the smart gas flowmeter in response to a determination that the power alert is issued to the gas user.

The invention relates to the technical field of image processing, in particular to an online calibration method and system for hydrological flow data, and solves the technical problem of low flow calculation precision caused by rough window segmentation and illumination interference in the prior art. The method comprises the following steps: collecting a water surface video in a river water flow process, and setting a velocity measurement line area in the water surface video along a water flow direction; according to the gray level distribution of the velocity measurement line area, carrying out illumination state judgment, and according to a judgment result, carrying out image restoration on an illumination abnormal area in the water surface video to obtain a restored water surface video; constructing a space-time image for the repaired water surface video, performing corner detection, clustering corners to divide a plurality of windows, and constructing a window weight for each window; and weighting the texture angle of each window according to the window weight of each window to obtain a weighted texture angle, and calculating hydrological flow data according to the weighted texture angle.

The invention relates to the technical field of data measurement, in particular to an online measurement system and method for measurement data of an oiling machine, and the method comprises the steps: introducing a trace disturbance signal in an oiling process, and collecting a flow fluctuation sequence before and after disturbance and a feedback value of a measurement module; according to the response relation between the flow fluctuation sequence and the metering feedback, extracting stability characteristics representing metering link integrity and response consistency; judging whether the stability characteristic is abnormal or not, and outputting an online measurement credibility score and an abnormal early warning signal of the current refueling measurement according to the stability characteristic; and when the credibility score is continuously lower than the dynamic credibility threshold value by a set number of times, triggering a metering self-diagnosis mode, carrying out backtracking analysis on related data segments in a disturbance response process, and outputting a suggestive equipment maintenance instruction or fault positioning information. The method has the advantages of being quantifiable in score and explainable in judgment, and is suitable for high-adaptability online verification and evaluation in various refueling scenes and different equipment states.

The invention belongs to the field of test fluid mechanics, and discloses a flow correction method considering air inlet distortion and a calibration device. The flow calibration device comprises a standard flow spray pipe, an air inlet section, a measurement section, a rectification section and an exhaust spray pipe which are sequentially connected from front to back. The flow correction method considering the air inlet distortion comprises the steps that distortion air inlet flow correction is conducted; flow and distortion intensity evaluation is carried out; training a neural network; carrying out an air inlet channel test; calculating an air inlet flow distortion parameter; and correcting a flow calculation result. According to the flow correction method and the calibration device considering the air inlet distortion, the air inlet distortion, the total pressure loss and the Reynolds number influence are comprehensively considered, technical support can be provided for high-precision flow monitoring of a large-curvature aircraft air inlet performance evaluation test, and the method and the calibration device have high engineering practical value.

The invention relates to the technical field of electric digital data processing, and discloses an Internet of Things water meter operation mode monitoring method, which comprises the following steps: acquiring an original pulse sequence acquired by a sensor and extracting a pulse time interval sequence; mapping based on the pulse time interval sequence and the system structure characteristic parameters to obtain an equivalent response numerical sequence; constructing a feature vector unit according to the evolution slope between the adjacent numerical points; extracting slope symmetry features of the feature vector units and matching the slope symmetry features with a physical causal criterion so as to separate continuous feature signals and asymmetric noise signals; according to the method, fluid kinetic energy time domain evolution characteristics are represented by using a nonlinear mapping mechanism, accurate decoupling of a real water load and a pipe network disturbance pseudo signal is realized through physical causal verification, the difficult problem of micro flow identification under a complex working condition is effectively solved, and the monitoring robustness of a system is enhanced.

The invention discloses an ultrasonic transducer measuring device and a use method thereof, and the device comprises a transducer large-scale verification tool which is suitable for positioning a plurality of ultrasonic transducers to be measured; the performance parameter automatic acquisition device is provided with a detection end and an output end, the detection has three linear motion freedom degrees of an X axis, a Y axis and a Z axis, and the detection end sequentially obtains performance parameters of the to-be-detected ultrasonic transducers positioned to the transducer large-scale verification tool in a movable mode; and the upper computer is connected with the output end of the performance parameter automatic acquisition device and is suitable for receiving and processing the ultrasonic transducer performance parameters output by the performance parameter automatic acquisition device. According to the transducer large-scale verification tool, multi-station synchronous positioning is achieved, in combination with the movable detection end of the performance parameter automatic acquisition device, parameter detection of the transducers in batches can be efficiently completed, and the detection efficiency is greatly improved.

The invention relates to the technical field of ultrasonic flowmeter calibration, and discloses an ultrasonic flowmeter calibration system and method based on a time difference method. According to the method, original signal data output by the ultrasonic flowmeter at a starting time point and an ending time point are collected, and meanwhile the time interval between the two time points is calculated. Then, the original signal data at the starting time point and the ending time point are preprocessed, and a more accurate starting preprocessing signal and a more accurate ending preprocessing signal are obtained; signal features are extracted from the preprocessed signals, a starting signal feature set and a terminating signal feature set are formed, and feature difference measures between the starting signal feature set and the terminating signal feature set are calculated; the characteristic difference measure is divided by the time interval to obtain the signal change rate. The signal change rate is compared with a preset threshold value, and calibration parameters of the ultrasonic flowmeter are adjusted according to the comparison result. According to the method, the working state of the ultrasonic flowmeter can be deeply analyzed from the signal feature level, and compared with a traditional calibration method, the calibration precision is effectively improved.

The invention belongs to the technical field of intelligent instruments, and relates to a remote monitoring system of an intelligent water meter. Through a method of combining data acquisition and processing, dynamic baseline modeling and network topology analysis, the problems that a traditional water supply system is difficult to accurately identify and position abnormal water consumption, equipment leakage and failure and the like are solved. The method comprises the following steps: firstly, acquiring cleaning water data by a system, and establishing a dynamic water behavior baseline model for each user; secondly, combining pipe network topology and pressure partition information to construct a comprehensive evaluation network; then, through real-time data comparison and spatial correlation analysis, abnormal types are accurately identified; and finally, accurately positioning an abnormal position and an influence range according to a network structure. According to the system, early warning and accurate positioning of abnormal events of the water supply network are realized, and when leakage occurs, hydraulic propagation characteristics can be automatically identified and leakage points can be positioned; when abnormal water consumption or equipment failure occurs, the influence area can be evaluated in time, and a scientific decision basis is provided for intelligent management of water supply enterprises.

The invention relates to the technical field of flow measurement, in particular to a flow measurement deviation correction method and system based on multi-component gas mixing change. Comprising the following steps: acquiring actually measured sound velocity and temperature-pressure parameters by using an intelligent sensor; constructing a virtual component perception model, and inverting the instantaneous concentration ratio of each component in real time by using sound velocity and physical property association; the theoretical sound velocity reference value is dynamically corrected, the signal detection deviation is compensated, and the corrected operation volume flow is output; the component proportion is input into a state equation calculation engine, and a compression factor and real-time density are solved; finally, energy flow is output in combination with unit volume calorific value. Through second-level component inversion and physical property dynamic compensation, the problems of measurement response lag and precision reduction under the component fluctuation working condition are solved.

The invention discloses an online calibration method for a mass flow meter, and belongs to the technical field of industrial process measurement and metering. Comprising the following steps: constructing a dual-channel data acquisition system; instantaneous mass flow data and accumulated mass flow data of the calibrated mass flow meter and the standard reference flow meter are collected in real time, and a standardized data sequence is obtained; extracting flow stability characteristic parameters by adopting multi-time scale analysis, and identifying a flow change event; the current operation state of the calibrated mass flow meter is subjected to grading judgment, and the corresponding working condition grade is determined; error comparison data used for representing the measurement deviation of the calibrated mass flow meter is generated; carrying out integrity, stability and consistency evaluation on the error comparison data, and judging whether the error comparison data meets a preset data quality criterion or not; and when a data quality criterion is met, obtaining a corresponding basic weight parameter according to the current working condition grade, and carrying out correction and normalization processing on the basic weight parameter to obtain a corrected and normalized weight parameter.

The invention provides an ultrasonic water meter fluctuation intelligent judgment method based on multi-dimensional feature fusion and a dynamic model. Firstly, multi-dimensional original data such as instantaneous flow, transition time, signal amplitude and water temperature of the ultrasonic water meter are synchronously collected; extracting a flow characteristic, a transition time composite characteristic and a signal quality characteristic in the sliding time window to form a characteristic vector; performing normalization processing and weighted calculation to obtain a total fluctuation intensity score FIS, if the total fluctuation intensity score FIS is less than or equal to a calm threshold, determining that the state is a normal stable state, otherwise, inputting a fine classification model; and finally outputting a fluctuation state label and a corresponding alarm or report. The method does not need extra hardware cost, improves the accuracy and fineness of abnormality diagnosis, adapts to water use habits and pipe network working condition changes, and provides technical support for intelligent pipe network management. According to the method, hardware cost does not need to be increased, the accuracy and fineness of anomaly diagnosis are greatly improved, and powerful technical support is provided for predictive maintenance and intelligent pipe network management.

The invention belongs to the technical field of gas field water flow meter measurement, and particularly discloses a two-phase flow measuring device and method resistant to oil and gas field water corrosion. The device is used for measuring gas field water in a pipeline and is matched with a flow totalizer. Comprising a first differential pressure flowmeter used for measuring the mass flow of gas in a pipeline, a second differential pressure flowmeter used for measuring the mass flow of liquid in the pipeline, a temperature sensor used for measuring the temperature of the gas in the pipeline, and a liquid level differential pressure transmitter used for measuring the liquid level in the pipeline. The temperature sensor, the first differential pressure flow meter, the second differential pressure flow meter and the liquid level differential pressure transmitter are respectively connected with the flow totalizer. According to the invention, the problems of gas and liquid two-phase flow measurement, accurate sulfur-containing gas field water measurement and the like can be solved under the condition that gas field water components contain corrosive (especially sulfur-containing components), non-full pipe flow and liquid phase flow velocity.

A water meter bearing wear state monitoring method and system based on a flow rate working condition relates to the field of electric digital data processing, and the method comprises the following steps: monitoring the generation frequency of a metering pulse on a target water meter, and determining whether the current metering working condition of the target water meter is a high flow rate working condition or a low flow rate working condition based on the generation frequency; counting a first pulse time interval sequence under the low flow speed working condition, and calculating a dispersion characteristic value of the first pulse time interval sequence as a first state characteristic value; counting a second pulse time interval sequence under the high flow rate working condition, and calculating a dispersion characteristic value of the second pulse time interval sequence as a second state characteristic value; based on the first state characteristic value and the second state characteristic value, calculating a working condition response index representing the wear degradation effect of the water meter bearing on the target water meter; when the working condition response index is larger than a preset abrasion judgment threshold value, abrasion early warning information corresponding to the target water meter is generated. By implementing the application, the water meter maintenance cost can be reduced.

The invention discloses an on-line water meter fault alarm detection device which comprises a water meter shell, a linkage device is arranged in the water meter shell and connected with a rotating shaft in the water meter shell, the upper end of the rotating shaft is rotationally connected with a rotor wing machine core, the rotor wing machine core is connected with a meter hand, a linkage gear is connected with a rotating shaft, and the rotating shaft is connected with a linkage gear. The camera is electrically connected with the fault detection mechanism, a water flow speed measurement sensor is arranged in the water meter shell, and the camera, the water flow speed measurement sensor and the rotary displacement sensor are electrically connected to a first early warning processor of the fault detection mechanism. Whether the water meter pointer rotates or not can be rapidly determined through the early warning detection mechanism, meanwhile, whether the impeller rotates under flowing of water flow or not is determined in the water meter shell, and whether the water meter runs or not is determined bidirectionally, so that whether the water flowing condition exists in water meter faults or not is guaranteed; and meanwhile, the linkage device is used for quickly warning the condition that water flows and the meter does not flow.

The invention relates to the technical field of industrial process control and fluid dynamic measurement, and discloses a high-precision liquid flow detection method based on a sensor. The method comprises the following steps: arranging a sensor, initializing a measurement section, receiving an ultrasonic signal, extracting a phase difference updated along with time, executing two-point temperature calibration, converting liquid temperature and correcting sound velocity, and obtaining static propagation time delay and a theoretical phase; constructing a net phase difference, inverting an axial instantaneous flow velocity according to a propagation difference, and applying non-negative and upper bound constraints; collecting pressure fluctuation to estimate a turbulence equivalent speed and superposing the turbulence equivalent speed with the main speed; calculating the volume flow according to the cross section area and accumulating the volume; phase anomaly, temperature rate and pressure peak detection is carried out, and substitution, recalculation and interpolation are adopted respectively; and counting and normalizing the maximum values of the speed and the flow, and outputting the speed, the flow, the accumulated volume and a normalized curve.

The invention discloses a mixed gas flow online calibration device and method for a cable combustion test device, and belongs to the technical field of cable and optical cable combustion performance detection. The device comprises a propane gas source, an air source, a pressure reducing valve group, a mass flow controller, a mixed gas online calibration module group, a Venturi mixer and a blowtorch, a mixed gas online calibration module is arranged on the downstream of a mass flow controller, and a temperature and pressure sensor, a differential pressure mass flow meter and an embedded processor are combined, so that real-time monitoring and online calibration of mixed gas flow are achieved; according to the method, a flow drift curve can be fitted, the output error of the controller is corrected, and the influence of dismounting calibration and pipeline leakage is avoided; compared with the prior art, the device has the advantages of being high in precision, simple in structure, capable of self-checking, high in stability and the like, the consistency of the blast burner fire source power and the flame shape in a GB / T 31248 test is effectively improved, and the accuracy and repeatability of a cable combustion performance test are guaranteed.

The invention discloses an automatic testing method and device for a water meter module, a medium and a product. In the method, a manipulator is controlled to grab a to-be-tested water meter module and place the to-be-tested water meter module at a test station, and start power consumption characteristic data, sleep power consumption characteristic data and valve control response characteristic data of the to-be-tested water meter module are collected; processing the starting power consumption characteristic data, the dormancy power consumption characteristic data and the valve control response characteristic data to construct an electrical reference portrait; writing a module identity into a nonvolatile memory of the water meter module to be tested; performing function verification on the to-be-tested water meter module to obtain a dynamic function data set; obtaining dynamic power consumption characteristic data, and verifying the dynamic function data set and the dynamic power consumption characteristic data to obtain a consistency verification result; and generating a quality judgment conclusion, and moving the to-be-detected water meter module to a preset area according to the quality judgment conclusion. By implementing the technical scheme provided by the invention, the limitation that a traditional quality inspection method only depends on independent parameter threshold judgment is effectively overcome.

The utility model provides an independent running circle testing device, and belongs to the technical field of water meter testing. An independent running circle testing device comprises a testing box, a plurality of simulation assemblies and a lifting platform. According to the utility model, the plurality of groups of relatively independent simulation assemblies are installed in the test box, the lifting platform with the plurality of test stations is installed above the test box in a liftable manner, and each group of simulation assembly comprises the driving motor with the rotating shaft penetrating out of the test box. According to the utility model, through the lifting adjustment of the lifting platform and the replacement of different types of simulation rotating blocks, the test of products with different sizes and specifications can be adapted without additionally designing a test rotor, so that the cost is reduced, and the resource waste is avoided; and the plurality of groups of simulation assemblies can independently realize independent running circle testing of a plurality of products, so that the requirement of testing the plurality of products at the same time is met, and the testing efficiency is higher.