A swirl-in vortex gas flowmeter

Abstract

The application provides a kind of screwing vortex gas flowmeter, relating to gas flowmeter technical field, including pipeline, measuring tube, sealing ring, measuring head, vortex generating assembly, rectifier plate, measurement display and flow intelligent processing system;Wherein, the measuring tube is fixedly connected in the pipeline, two measuring heads with probe are installed in the middle section of the measuring tube through the sealing ring, the vortex generating assembly is installed at one end, the rectifier plate is arranged at the other end, the measurement display is installed on the outer wall of the pipeline, and the flange ring is arranged at both ends;The flow intelligent processing system contains signal processing module, flow calculation module and data storage module, and can also include fault diagnosis, man-machine interaction and data transmission module. Through the adaptive filtering, multi-parameter correction and intelligent operation and maintenance function of the flow intelligent processing system, combined with the quick disassembly structure of the vortex generating assembly, the measurement accuracy and reliability under complex working conditions are improved, the problems of traditional equipment maintenance complexity and sealing vulnerability are solved, the operation and maintenance cost is reduced, and the measurement efficiency is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas flow meters, in particular to a swirl-in vortex gas flow meter. BACKGROUND

[0002] In the fields of industrial production, energy metering, etc., accurate measurement of gas flow is a key link to realize process control, cost accounting and energy management, and the swirl-in vortex gas flow meter is widely used due to its simple structure and wide range ratio. Its working principle is to generate vortex in gas by using a vortex generator, and to calculate the gas flow by detecting the frequency of the vortex. The vortex generator of most existing swirl-in vortex gas flow meters is fixedly connected (such as welded or integrally formed) with the inner wall of the pipeline. When the blades of the vortex generator are worn or deformed due to impurities in the gas, or the stability of the vortex is reduced due to the accumulation of dirt for a long time, the pipeline needs to be disassembled or even cut to maintain, which is complicated and time-consuming, easy to damage the sealing of the pipeline, increase the maintenance cost and downtime, and seriously affect the production continuity and measurement accuracy.

[0003] At the same time, the signal processing and flow calculation system of the traditional swirl-in vortex gas flow meter is relatively simple, and mostly uses fixed parameter filtering and single linear model, which is difficult to cope with electromagnetic interference, pipeline vibration and other noises in complex industrial environments, resulting in low vortex signal extraction accuracy; and cannot dynamically correct the flow value according to the type of gas, real-time pressure and temperature, and the measurement error is large at high range ratio. In addition, the fault diagnosis capability is weak, and the data storage and transmission function is limited, which is difficult to meet the needs of intelligent operation and maintenance and accurate measurement.

[0004] Therefore, it is necessary to provide a swirl-in vortex gas flow meter to solve the above technical problems. SUMMARY

[0005] The present application aims to provide a swirl-in vortex gas flow meter to solve the problems of poor anti-interference ability, inaccurate measurement, unstable structure, inability to adapt to dynamic changes of gas parameters and delayed fault diagnosis of existing flow meters, and to realize high-precision measurement of gas flow, stable operation of equipment and efficient fault diagnosis and maintenance.

[0006] To solve the above technical problems, the present application provides a swirl-in vortex gas flow meter, which comprises a pipeline, a measuring pipe is fixedly connected in the pipeline, a sealing ring is provided on the middle segment of the measuring pipe, two measuring heads are symmetrically fixedly connected on the sealing ring, probes are arranged on the opposite surfaces of the two measuring heads, one end of the probe extends into the inner wall of the measuring pipe, a vortex generating assembly is installed at one end of the measuring pipe, a rectifier plate is fixedly connected at the other end of the measuring pipe, a measuring display is installed on the outer wall of the pipeline, and flange rings are fixedly connected at both ends of the pipeline.

[0007] The flow intelligent processing system is internally integrated with the measuring display of the pipeline outer wall, and comprises a signal processing module, a flow calculation module and a data storage module.

[0008] The signal processing module is electrically connected with the probe of the measuring head, used for receiving the vortex vibration signal collected by the probe, filtering the signal to remove environmental interference noise, amplifying the signal, and converting the amplified analog signal into a digital signal.

[0009] The flow calculation module is in communication connection with the signal processing module, used for converting the digital signal processed by the signal processing module into a corresponding gas flow value based on a preset vortex frequency and gas flow correlation algorithm, and the gas flow correlation algorithm is used for dynamically correcting the gas flow value according to a gas type parameter, a real-time pressure parameter and a real-time temperature parameter.

[0010] The data storage module is in communication connection with the signal processing module and the flow calculation module respectively, used for recording real-time flow data, historical flow data, equipment running state parameters and fault information within a preset time length.

[0011] Preferably, the vortex frequency and gas flow correlation algorithm preset in the flow calculation module comprises a basic flow calculation formula and a comprehensive correction coefficient, the basic flow calculation formula is constructed based on the linear relationship between the vortex frequency and the flow, and the comprehensive correction coefficient is determined according to the physical characteristic parameters corresponding to the gas type, the ratio of the real-time pressure to the standard pressure, and the ratio of the real-time temperature to the standard temperature.

[0012] Preferably, the flow intelligent processing system further comprises a fault diagnosis module, a man-machine interaction module and a data transmission module.

[0013] The fault diagnosis module is in communication connection with the signal processing module, the measuring head and the flow calculation module respectively, used for monitoring the equipment running state in real time and diagnosing the fault type.

[0014] The man-machine interaction module is integrated in the measuring display, used for realizing the information interaction between the user and the equipment, and used for displaying the information stored in the data storage module.

[0015] The data transmission module is in communication connection with the flow calculation module and the data storage module, used for realizing the external interaction of data.

[0016] Preferably, the vortex generating assembly comprises a first flared sleeve, a smaller end of the first flared sleeve is fixedly connected with the measuring pipe, a plurality of dovetail grooves are equidistantly arranged on the inner wall of the first flared sleeve along the shaft side, a plug sleeve ring is sleeved on the inner wall of the first flared sleeve, a plurality of dovetail blocks corresponding to the dovetail grooves are equidistantly protruded on the outer wall of the plug sleeve ring, and a plurality of spiral blades coaxial with the pipeline are fixedly connected on the inner wall of the plug sleeve ring.

[0017] As preferred, a mounting cylinder is fixedly connected to the center of the spiral blade, a spiral guide plate is mounted on one end surface of the measuring tube, the shape of the spiral guide plate corresponds to the inner wall shape of the first flared sleeve, the other end of the measuring tube is fixedly connected with a second flared sleeve, the inner wall cross section of the measuring tube is in the shape of a wide mouth, and the wide mouth-shaped inner wall of the measuring tube is located at the first flared sleeve.

[0018] As preferred, a rotating ring is rotatably arranged on the outer wall of one end of the first flared sleeve, an annular baffle is fixedly connected to the inner wall of the rotating ring and located in the dovetail groove, and a plurality of through grooves are arranged on the annular baffle in a staggered manner with the dovetail groove.

[0019] As preferred, a piezoelectric sensor is fixedly connected to the inner wall of the measuring tube, and a data line sleeve is arranged on the bottom surface of the measuring display and located in the pipeline, two transmission lines corresponding to the two measuring heads are arranged in the data line sleeve.

[0020] As preferred, threaded holes are arranged on the opposite surfaces of the two measuring heads, external threaded columns are fixedly connected to the ends of the transmission lines, and the transmission lines are fixedly connected to the measuring heads through the external threaded columns.

[0021] As preferred, the real-time monitoring device monitors the running state and diagnoses the fault type, specifically:

[0022] The signal amplitude in the vortex vibration signal output by the probe and the signal-to-noise ratio of the filtered signal are identified, the deviation between the real-time flow output by the real-time flow calculation module and the historical average flow is recorded as a historical real flow difference value, the data interaction response time of the communication link of the detection data storage module, the data transmission module and the main control unit is detected, and the signal amplitude, the signal-to-noise ratio, the historical real flow difference value and the data interaction response time are recorded as diagnostic data.

[0023] A normal range is set for any parameter in the diagnostic data, if any parameter in the diagnostic data is not in its set normal range, it indicates that the parameter is abnormal, and the number of abnormalities is recorded, and the number of abnormalities of the parameter in the preset diagnosis time zone is identified.

[0024] The statistical indicators of the parameters in the preset diagnosis time zone are calculated, including mean, variance and range.

[0025] The diagnostic values of the parameters are calculated by weighting the statistical indicators and the number of abnormalities according to their preset weights.

[0026] A diagnostic threshold is set, the diagnostic value is compared with the diagnostic threshold, if the diagnostic value is greater than or equal to the diagnostic threshold, it indicates that the parameter is abnormal, and a fault code corresponding to the parameter is generated.

[0027] Compared with the related art, the vortex gas flowmeter provided by the application has the following beneficial effects:

[0028] 1. The application provides a flow intelligent processing system, adopts a self-adaptive filtering algorithm to dynamically reduce noise, combines multi-parameter weighted correction of a flow value, improves measurement accuracy under complex working conditions, realizes intelligent operation and maintenance through multi-dimensional fault diagnosis and full-cycle data storage and transmission, solves problems of weak anti-interference, large error and difficult fault troubleshooting of a traditional system, reduces operation and maintenance cost, and guarantees measurement reliability.

[0029] 2. The application realizes quick disassembly of a vortex generation assembly through cooperation of dovetail grooves and plug-in rings, guarantees installation stability in combination with a rotating ring and an annular baffle, can complete maintenance of helical blades without disassembling or cutting a pipeline, effectively solves problems of complicated maintenance and easy damage of sealing performance of a traditional fixed connection structure, and significantly improves maintenance efficiency and sealing performance of a pipeline system.

[0030] In summary, the application improves measurement accuracy and reliability under complex working conditions through self-adaptive filtering, multi-parameter correction and intelligent operation and maintenance functions of a flow intelligent processing system, in combination with a quick disassembly structure of a vortex generation assembly, solves problems of complicated maintenance and easy damage of sealing performance of a traditional device, comprehensively reduces operation and maintenance cost, and optimizes measurement efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 A structure schematic view of the vortex gas flowmeter provided by the application;

[0032] Figure 2 A sectional view of the measuring pipe provided by the application;

[0033] Figure 3 A sectional view of the first flared sleeve provided by the application;

[0034] Figure 4 A structure schematic view of the helical guide plate provided by the application;

[0035] Figure 5 A structure schematic view of the measuring display provided by the application;

[0036] Figure 6 A connection relationship diagram of the flow intelligent processing system provided by the application.

[0037] Fig. number: 1, pipeline; 2, measuring pipe; 3, sealing ring; 4, measuring head; 5, rectifier plate; 6, measuring display; 7, plug-in ring; 8, dovetail block; 9, helical blade; 10, helical guide plate; 11, rotating ring; 12, annular baffle. DETAILED DESCRIPTION

[0038] Clearly, the described embodiments are only some, but not all, embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort are within the scope of the present application.

[0039] The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. As used in the description of the present disclosure and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It also will be understood that the term “and / or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0040] It will be understood that, although the terms first, second, third, etc. can be used herein to describe various information, these terms are not intended to denote a temporal sequence. Rather, these terms are used only as distinguishable to reference various information. For example, without departing from the scope of the present disclosure, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information. Depending on the context, the word “if’ as used herein can be interpreted to mean “when” or “in response to determining” or “in response to a determination.”

[0041] Reference will now be made to the drawings, in which Figures 1-6The utility model provides a kind of screw into vortex gas flowmeter, including pipeline 1, pipeline 1 is fixedly connected with measuring tube 2, the middle section of measuring tube 2 is provided with sealing ring 3, two measuring heads 4 are symmetrically fixedly connected on sealing ring 3, the opposite face of two measuring heads 4 is equipped with probe, one end of probe extends into the inner wall of measuring tube 2, one end of measuring tube 2 is installed with vortex generating assembly, the other end of measuring tube 2 is fixedly connected with rectifier plate 5, measuring display 6 is installed on the outer wall of pipeline 1, flange ring is fixedly connected at both ends of pipeline 1;Measuring display 6 selects SLXB type screw into vortex flowmeter, this type can be adapted with multiple flow sensors, realizes the accurate measurement display, cumulative calculation etc.

[0042] In the application, a rotating ring 11 is arranged on the outer wall of one end of the first flared sleeve, an annular baffle 12 is fixedly arranged on the inner wall of the rotating ring 11 and located in the dovetail groove, and a plurality of through grooves are arranged on the annular baffle 12 in a staggered manner with the dovetail groove; the rotating ring 11 is made of polytetrafluoroethylene, the rotating ring 11 made of polytetrafluoroethylene has a small friction coefficient and is flexible to rotate, so that the operation for fixing and unlocking the plug-in sleeve ring 7 is facilitated; the annular baffle 12 is made of Q235 steel, the Q235 steel has high strength and can effectively block the dovetail block 8 to ensure the stability of the plug-in sleeve ring 7 after installation; the structure realizes quick fixing and dismounting of the plug-in sleeve ring 7 through cooperation of the rotating ring 11 and the annular baffle 12, and the convenience of maintenance is improved; the probe is fixedly arranged at the inner wall of the measuring pipe 2 and is provided with a piezoelectric sensor, the bottom surface of the measuring display 6 is provided with a data line sleeve located in the pipeline 1, and two transmission lines corresponding to the two measuring heads 4 are arranged in the data line sleeve; the piezoelectric sensor can be a PZT-5H piezoelectric ceramic sensor, which has good receiving performance, high stability and sensitivity, and can accurately convert the vortex vibration signal into an electric signal; the data line sleeve is made of polyvinyl chloride, the data line sleeve made of polyvinyl chloride has good insulation and a certain flexibility, can protect the transmission lines from gas corrosion and mechanical damage, and ensures the stability of signal transmission; in this structure, the piezoelectric sensor converts the vortex vibration signal into an electric signal, the transmission lines are responsible for signal transmission, and the data line sleeve plays a protective role; screw holes are arranged on the opposite surfaces of the two measuring heads 4, and outer threaded columns are fixedly arranged at the ends of the transmission lines, the transmission lines are fixedly connected to the measuring heads 4 through the outer threaded columns; the outer threaded columns are made of brass, the outer threaded columns made of brass have good electrical conductivity and mechanical strength, are fixedly connected to the screw holes of the measuring heads 4, are firmly connected, can effectively prevent the transmission lines from loosening due to vibration and the like, and ensure the reliability of signal transmission; the structure realizes stable connection of the transmission lines and the measuring heads 4 through threaded connection, reduces interference in the signal transmission process, and improves the stability of measurement.

[0043] The flow intelligent processing system is integrated in the measuring display 6 on the outer wall of the pipeline 1, and includes a signal processing module, a flow calculation module and a data storage module; the signal processing module is electrically connected to the probe of the measuring head 4 through a circuit, the flow calculation module is in communication connection with the signal processing module, and the data storage module is in communication connection with the signal processing module and the flow calculation module respectively.

[0044] The signal processing module is electrically connected to the probe of the measuring head 4, is used for receiving the vortex vibration signal collected by the probe, filtering the signal to remove environmental interference noise, amplifying the signal, and converting the amplified analog signal into a digital signal.

[0045] The flow calculation module is in communication connection with the signal processing module, and is configured to convert the digital signal processed by the signal processing module into a corresponding gas flow value based on a preset vortex frequency and gas flow correlation algorithm, and the gas flow correlation algorithm is configured to dynamically correct the gas flow value according to a gas type parameter, a real-time pressure parameter and a real-time temperature parameter;

[0046] The data storage module is in communication connection with the signal processing module and the flow calculation module respectively, and is configured to record real-time flow data, historical flow data, equipment running state parameters and fault information within a preset time period.

[0047] It should be noted that the historical flow data is formed by sampling and storing the real-time flow data by the data storage module according to a preset period, and records the flow record within the preset period, including the average flow, the maximum flow, the minimum flow and the cumulative flow (such as hourly cumulative, daily cumulative and monthly cumulative values) of each preset period; the equipment running state parameters are specifically parameters for reflecting the running conditions of components of the flowmeter, including the signal amplitude in the vortex vibration signal output by the probe and the signal-to-noise ratio of the filtered signal, the drift amount of the instrument coefficient K, the deviation between the real-time flow and the historical average flow, and the data interaction response time length of the communication link of the data storage module, the data transmission module and the main control unit.

[0048] In the present application, the filter processing of the signal processing module adopts an adaptive filter algorithm for dynamically adjusting filter parameters according to the amplitude fluctuation and noise characteristics of the vortex vibration signal; the adaptive filter algorithm can accurately filter out environmental interference noise by dynamically adjusting parameters, improve the extraction accuracy of the vortex vibration signal, and enhance the measurement stability.

[0049] In the present application, the vortex frequency and gas flow correlation algorithm preset in the flow calculation module includes a basic flow calculation formula and a comprehensive correction coefficient:

[0050] The basic flow calculation formula is constructed based on the linear relationship between the vortex frequency and the flow, and specifically is:

[0051] The pre-processed vortex vibration signal is obtained, and the number of vortexes f generated by the vortex motion in unit time is extracted from the signal; based on the linear correlation characteristics of the vortex frequency and the gas flow, and in combination with the instrument coefficient K preset according to the mechanical structure parameters of the flowmeter, the expected gas flow value is calculated , and the formula is ;

[0052] The theoretical basis for deriving the basic flow calculation formula is: based on the "vortex entrainment effect" of fluid mechanics, the gas flowing through the spiral blade 9 generates a rotating vortex flow, and the vortex entrainment frequency is positively correlated with the flow rate. According to Bernoulli's equation and the continuity equation of fluid, when the inner diameter of the measuring pipe 2 is fixed, there is a linear relationship between the gas volume flow and the vortex frequency, i.e. ;

[0053] Instrument coefficient K reflects the mechanical structure and flow-frequency relationship, the derivation formula is , in the formula, d is the inner diameter of the measuring pipe 2, n is the number of spiral blades 9, and p is the lead of the spiral blade 9; the theoretical instrument coefficient K value is calculated by the above formula, and then corrected by factory calibration (the calibration medium is a reference gas under standard state, covering the preset flow range), to determine the K value for actual application (the calibration deviation is ≤ the preset threshold).

[0054] Determine the gas type through the preset gas type selection function (such as the parameter setting of the measurement display 6); match the determined gas type with the preset gas corresponding relationship table to output the gas correction value corresponding to the gas type ; The real-time temperature of the measuring pipe 2 is collected by the matching temperature sensor, and the real-time pressure in the measuring pipe 2 is collected by the matching piezoelectric sensor; The standard temperature and pressure in the measuring pipe 2 are preset; The real-time temperature is divided by the standard temperature to obtain the temperature ratio , the real-time pressure is divided by the standard pressure to obtain the pressure ratio ;

[0055] Obtain the temperature ratio and pressure ratio in the unit time before the current time, and calculate the mean and variance value of each, and the mean and variance value of the temperature ratio are recorded as , ;

[0056] The temperature correction value is obtained by weighted calculation of the temperature ratio and its mean and variance value at the current time , the formula is , The temperature weight coefficients of the temperature ratio and its mean and variance value are respectively

[0057] The mean and variance value of the pressure ratio are recorded as , ; The pressure correction value is obtained by weighted calculation of the pressure ratio and its mean and variance value at the current time , the formula is , The pressure weight coefficients of the pressure ratio and its mean and variance value are respectively

[0058] The comprehensive correction coefficient C is obtained by weighted calculation of the gas correction value, the temperature correction value and the pressure correction value, the formula is ; Wherein a1, a2, a3 respectively represent the weight influence factor corresponding to the gas correction value, the temperature correction value and the pressure correction value;

[0059] Wherein, the gas correction value The matching of:

[0060] The establishment of the preset gas corresponding relationship table: the physical characteristic parameters (density , dynamic viscosity ) of common gases under the standard state (temperature, pressure) are determined through experiments, and a correction value correlation model is established: , wherein, , respectively represent the density and viscosity of the standard reference gas, , respectively are the weight coefficients (specifically fitted through experiments) corresponding to the density and viscosity;

[0061] The user selects the gas type through the man-machine interaction module, and the system automatically calls the corresponding value from the preset table.

[0062] The correction coefficient C is applied to the expected gas flow value , so as to obtain the final gas flow value under the standard state;

[0063] The expected gas flow value , the final gas flow value under the standard state is recorded as real-time flow data and transmitted to the data storage module for storage.

[0064] It should be noted that through the preset vortex frequency and gas flow correlation algorithm in the flow calculation module, based on the linear relationship between the vortex frequency and the flow, combined with the gas type, the real-time temperature and pressure parameters and the historical fluctuation characteristics are corrected in multiple dimensions, which significantly improves the accuracy and stability of the flow measurement under complex working conditions.

[0065] In the present application, it also includes a fault diagnosis module, a man-machine interaction module and a data transmission module.

[0066] The fault diagnosis module is in communication connection with the signal processing module, the measuring head 4 and the flow calculation module, and is used for real-time monitoring of the equipment running state and diagnosis of the fault type, specifically:

[0067] Identify the signal amplitude in the vortex vibration signal output by the probe and the signal-to-noise ratio of the filtered signal; then compare the deviation between the real-time flow output by the flow calculation module and the historical average flow, which is recorded as the historical real flow difference value;

[0068] The drift amount of the monitoring instrument coefficient K;

[0069] Detect the data interaction response time length of the communication link of the data storage module, the data transmission module and the main control unit; record the signal amplitude, the signal-to-noise ratio, the historical real flow difference value, the drift amount and the data interaction response time length as the diagnosis data;

[0070] Any parameter in the diagnostic data is denoted as X, and a normal range is set for any parameter in the diagnostic data If any parameter in the diagnostic data is not in its set normal range, it is considered abnormal, and the number of abnormal times is recorded The number of abnormal times of the parameter in the preset diagnostic time zone is identified

[0071] The statistical indicators of the parameter in the preset diagnostic time zone are calculated, including the mean, variance, and range value (the range value is the difference between the maximum and minimum values of the parameter in the preset diagnostic time zone)

[0072] The mean of the n sampling values in the preset diagnostic time zone is identified The calculation formula is , where i represents the number of sampling times

[0073] The variance of the parameter X (reflecting the degree of data fluctuation) is calculated using the formula ;

[0074] The range value of the parameter X is calculated using the formula ; ;

[0075] The diagnostic value corresponding to the parameter is obtained by weighting the statistical indicators and the number of abnormal times with their respective preset weights, using the formula ; where are the weight coefficients of the mean, variance, range value, and number of abnormal times, respectively, and the weights are determined through experimental data optimization

[0076] The diagnostic threshold is set, and the diagnostic value is compared with the diagnostic threshold. If the diagnostic value is greater than or equal to the diagnostic threshold, it indicates that the parameter is abnormal, and the corresponding fault code for the parameter is generated

[0077] For example, if the diagnostic value corresponding to the signal amplitude is greater than or equal to the corresponding diagnostic threshold, it is determined to be a probe fault, and the corresponding fault code for the signal amplitude is generated

[0078] If the diagnostic value corresponding to the signal-to-noise ratio is greater than or equal to the corresponding diagnostic threshold, it is determined to be a signal interference fault, and the corresponding fault code for the signal-to-noise ratio is generated

[0079] If the diagnostic value corresponding to the historical real flow difference is greater than or equal to the corresponding diagnostic threshold, it is determined to be a calculation logic fault, and the corresponding fault code for the historical real flow difference is generated

[0080] If the diagnostic value corresponding to the drift is greater than or equal to the corresponding diagnostic threshold, it is determined to be a coefficient misalignment fault, and the corresponding fault code for the drift is generated

[0081] ​If the diagnostic value corresponding to the data interaction response time is greater than or equal to the corresponding diagnostic threshold value, it is determined that there is an internal communication failure, and a fault code corresponding to the data interaction response time is generated;

[0082] The human-computer interaction module is integrated in the measurement display 6, and is used for realizing information interaction between the user and the device, and displaying the information stored in the data storage module.

[0083] The data transmission module is in communication connection with the flow calculation module and the data storage module, and is used for realizing external interaction of data.

[0084] It should be noted that the fault diagnosis module accurately identifies the fault type and generates a code through multi-dimensional parameter monitoring and weighted diagnosis, and realizes device state visualization and external data interaction in combination with the human-computer interaction module and the data transmission module, thereby improving operation and maintenance efficiency.

[0085] Embodiment

[0086] To clearly illustrate the actual application effect of the scheme, the scheme is further described through specific embodiments below. The embodiment is based on the "rotating vortex gas flowmeter software and hardware collaborative architecture" designed in the present application, and is developed for the city natural gas station metering scene. The hardware configuration, software interaction logic and technical concept of "signal acquisition-intelligent processing-operation and maintenance diagnosis" in the scheme are completely adapted, and are used to verify the feasibility, adaptability and technical advantages of the scheme under actual working conditions.

[0087] In the embodiment, the pipeline 1 adopts a 20# seamless steel pipe, the measuring pipe 2 selects a 304 stainless steel (the inner wall of the necked end has a diameter of 120 mm), which is adapted to the "fluid channel structure design" in the scheme; the vortex generating assembly is configured with three brass spiral blades 9 (lead 150 mm), and the measuring head is symmetrically provided with double PZT-5H type piezoelectric sensors, which correspond to the "vortex excitation-signal acquisition" technical logic in the scheme; the measurement display 6 is integrated with an SLXB type flow intelligent processing system, and a data transmission module supports NB-IoT wireless communication, which cooperates with the "intelligent processing-operation and maintenance interaction" function module in the present application. Through the embodiment, the whole process technical implementation of the scheme from hardware cooperation to software intelligent operation and maintenance can be completely presented, and the practical application value of the scheme is verified.

[0088] (I) Real-time monitoring module implementation

[0089] Data acquisition and interface display: The piezoelectric sensor of the measuring head captures the vortex vibration signal (1-3 mV analog quantity) in real time, and after adaptive filtering (sampling rate 8 kHz) by the signal processing module, the digital signal is transmitted to the measurement display 6.

[0090] The software real-time monitoring interface adopts a three-region layout:

[0091] Top digital panel: display instantaneous flow (unit m³ / h), font size dynamically adjusted with value (range 0-10000 m³ / h), right side set unit switch button (support m³ / h and Nm³ / h switch).

[0092] Middle trend area: draw hyperbolic curve through ECharts, real-time display temperature (sampling period 1s), pressure (sampling period 1s) change, curve color respectively orange (temperature), blue (pressure), mouse hover can display accurate value (such as "15:30:22 temperature 18.5℃ pressure 1.2MPa").

[0093] Bottom state area: column chart shows real-time value of signal-to-noise ratio (SNR), three color warning of green (SNR≥20dB), yellow (15-20dB), red (<15dB), right side displays device running state code ("00" means normal).

[0094] Signal quality optimization mechanism: software built-in signal quality evaluation algorithm, calculate SNR every 500ms, when detect pipeline 1 vibration interference (SNR drops to 18dB), automatically trigger signal processing module to enhance 50Hz power frequency suppression strength, 3s will SNR rise to above 22dB, interface state area synchronously displays "anti-interference mode start" prompt.

[0095] (II) Parameter configuration module implements basic parameter configuration process

[0096] Operation personnel enter "parameter configuration" interface through measurement display 6 touch screen, software supports following operation: gas type selection: check "natural gas" in drop-down menu, system automatically loads preset gas parameters (density 0.72kg / m³, viscosity 1.1×10⁻ 5 Pa・s), associated gas correction value =1.03.

[0097] Standard working condition setting: default standard temperature , standard pressure , support manual modification (range : 0-30℃, : 0.1-0.15MPa), after modification, software automatically updates correction coefficient calculation formula parameter. Instrument coefficient calibration: input calibration value through "coefficient calibration" entry, software stores 3 groups of historical calibration records (including timestamp), current instrument coefficient\K=1000m³ / (h·Hz) (based on measurement pipe 2 inner diameter 120mm, blade number 3 pieces calculation).

[0098] Communication parameter configuration: Select NB-IoT protocol in the "communication configuration" sub-interface, set the transmission interval (default 5 min, can be set to 1-60 min), fill in the gateway IP and port number, and the software supports communication state self-checking (send heartbeat packet every 30s), the interface displays "connected to the cloud platform" or "communication failure (code E10)".

[0099] (Three) flow calculation and correction module implementation

[0100] Basic flow calculation: the signal processing module extracts the vortex frequency f (unit Hz), and the software calculates the expected flow according to the formula . For example: when the vortex frequency is detected to be 25 Hz, =1000×25=25000m³ / h, the result is stored in the data storage module (1s record 1).

[0101] Comprehensive correction coefficient calculation:

[0102] Temperature correction: the software collects the temperature T=15℃ in real time, calculates the temperature ratio ; calls the temperature data (3600 sampling points) within 1 hour, calculates the mean , variance , and calculates according to the weight .

[0103] Pressure correction: real-time pressure P=1.2MPa, pressure ratio ; 1 hour pressure mean , variance ; calculate according to the weight .

[0104] Comprehensive correction: calculate according to the weight a1=0.2, a2=0.3, a3=0.5; the final flow Q=25000×6.32=158000m³ / h (standard state), update to the instrument panel at the same time.

[0105] (Four) fault diagnosis module implementation

[0106] Multi-dimensional parameter monitoring: the software collects diagnostic data every 10s, and sets the normal range as follows:

[0107]

[0108] Fault diagnosis example

[0109] When the probe accumulates dust and causes abnormal signal amplitude:

[0110] Abnormal identification: 60 times of sampling within 10 minutes, the mean value of signal amplitude , variance σ²=4, range R=10mV, number of outliers ;

[0111] Diagnosis value calculation:

[0112] Fault determination: Set the diagnosis threshold to 30, and since 42.3 ≥ 30, generate the fault code "E01 - probe signal attenuation", interface red flashing alarm, and push to the cloud platform at the same time.

[0113] (Five) Historical data and maintenance module implementation

[0114] Historical data management

[0115] The data storage module records data according to the following rules:

[0116] Real-time data: Store 1 instantaneous flow, temperature, and pressure value every 1s, and keep for 30 days.

[0117] Statistical data: Calculate the average flow, maximum / minimum flow every hour, and generate daily / monthly reports (including cumulative flow), and keep for 1 year.

[0118] Software supports query by time range (such as "2024-06-0108:00 to 2024-06-0118:00"), export CSV format report, and automatically generate flow trend line chart in the chart area.

[0119] Device maintenance guidance

[0120] When detecting that the vortex stability decreases (signal-to-noise ratio fluctuation ≥ 5dB), the software automatically pushes maintenance prompts:

[0121] 3D interactive guidance: Display the vortex occurrence component exploded view in the "Device Maintenance" interface, label the dovetail groove and insert sleeve ring 7 positions, and click "Disassembly steps" to play the animation (rotate the rotary ring 11 → align the through slot → pull out the insert sleeve ring 7).

[0122] Maintenance record: Fill in the blade wear degree ("mild / moderate / severe") and replacement spare part number, and the system automatically associates it to the device archive, and prompts "30 days since the last blade replacement" next time maintenance.

[0123] (Six) Data interaction module implementation

[0124] Cloud platform data synchronization

[0125] The software uploads the following data every 5 minutes through the NB-IoT module: standard state flow, real-time temperature / pressure, device status code, and fault information (if any). If the upload fails, the data is temporarily stored locally (maximum cache 100), and automatically retransmitted after the connection is restored.

[0126] Remote control response

[0127] Support cloud platform to issue remote instructions: such as modifying the transmission interval ("set the transmission period to 10 min"), starting calibration ("execute probe sensitivity calibration"), and the software receives a pop-up confirmation, returns "instruction has taken effect" after successful execution.

[0128] The vortex frequency and gas flow correlation algorithm, comprehensive correction coefficient, and other calculation formulas involved in the present application are all calculated using dimensionless values (dimensionless can be achieved through standardization, etc., which is not described here); The formula is based on a large amount of data software simulation to approach the real working condition, wherein the preset parameters (such as weight factor, diagnostic threshold, etc.) are set by the person skilled in the art according to the actual scene.

[0129] The signal processing, flow calculation, fault diagnosis, and other functional modules of the flowmeter can be realized through software, hardware, or a combination thereof; Software implementation can be embodied as a computer program stored in a computer readable medium such as a U disk, a hard disk, a ROM, a RAM, etc., for executing the functions of each module.

[0130] The execution order of each module processing flow is determined by the functional logic and is not limited by the step number; The module division is only a logical function division, and it can be integrated or split according to the demand, and it can be centrally or distributed deployed physically.

[0131] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice in the art. The specification and examples are to be regarded as exemplary only, and the true scope and spirit of the application are indicated by the following claims.

[0132] It should be understood that the application is not limited to the precise construction that has been described above and illustrated in the accompanying drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the claims that follow.

Claims

1. A swirl-in vortex gas flowmeter characterized by, The utility model relates to a kind of vortex flowmeter, including pipeline (1), the measuring tube (2) is fixedly connected in the pipeline (1), the middle segment of the measuring tube (2) is provided with sealing ring (3), two measuring heads (4) are symmetrically fixedly connected on the sealing ring (3), the opposite face of two the measuring head (4) is equipped with probe, one end of the probe extends into the inner wall of measuring tube (2), vortex generating component is installed in one end of the measuring tube (2), the other end of the measuring tube (2) is fixedly connected with rectifier plate (5), measuring display (6) is installed on the outer wall of the pipeline (1), flange ring is fixedly connected at both ends of the pipeline (1); The vortex generating component includes first flared sleeve, the smaller end port of the first flared sleeve is fixedly connected with the measuring tube (2), a plurality of dovetail grooves are equidistantly formed on the inner wall of the first flared sleeve along the shaft side, the first flared sleeve is sleeved with insert sleeve ring (7) on the inner wall, a plurality of dovetail blocks (8) corresponding to the dovetail grooves are equidistantly protruded on the outer wall of the insert sleeve ring (7), a plurality of spiral vanes (9) coaxial with the pipeline (1) are fixedly connected on the inner wall of the insert sleeve ring (7);The shaft center of the spiral vane (9) is fixedly connected with mounting cylinder, the spiral guide plate (10) is installed on one end surface of the measuring tube (2), the shape of the spiral guide plate (10) corresponds to the shape of the inner wall of the first flared sleeve, the other end of the measuring tube (2) is fixedly connected with second flared sleeve, the inner wall cross section of the measuring tube (2) is wide-mouthed, the wide-mouthed inner wall of the measuring tube (2) is narrowed at the first flared sleeve;The outer wall of one end of the first flared sleeve is rotatably provided with a rotating ring (11), the inner wall of the rotating ring (11) is fixedly connected with an annular baffle (12) located in the dovetail groove, a plurality of through grooves are formed on the annular baffle (12) in a staggered manner with the dovetail grooves; The outer wall of the pipeline (1) is integrally provided with a flow intelligent processing system inside the measuring display (6), the flow intelligent processing system includes a signal processing module, a flow calculation module and a data storage module; The signal processing module is electrically connected with the probe of the measuring head (4), for receiving the vortex vibration signal collected by the probe, filtering the signal to remove environmental interference noise, amplifying the signal, and converting the amplified analog signal into a digital signal; The flow calculation module is communicatively connected with the signal processing module, for converting the digital signal processed by the signal processing module into a corresponding gas flow value based on a preset vortex frequency and gas flow correlation algorithm, and the gas flow correlation algorithm is used to dynamically correct the gas flow value according to gas type parameters, real-time pressure parameters and real-time temperature parameters; The data storage module is communicatively connected with the signal processing module and the flow calculation module, respectively, for recording real-time flow data, historical flow data, equipment operating state parameters and fault information within a preset time period.

2. A precession vortex gas flow meter according to claim 1, wherein, The vortex frequency and gas flow correlation algorithm preset in the flow calculation module comprises a basic flow calculation formula and a comprehensive correction coefficient, the basic flow calculation formula is constructed based on the linear relationship between vortex frequency and flow, and the comprehensive correction coefficient is determined according to the physical characteristic parameters corresponding to the gas type, the ratio of real-time pressure to standard pressure, and the ratio of real-time temperature to standard temperature.

3. A precession vortex gas flow meter according to claim 1 wherein, It also comprises a fault diagnosis module, a man-machine interaction module and a data transmission module; The fault diagnosis module is in communication connection with the signal processing module, the measuring head (4) and the flow calculation module, and is used for real-time monitoring of the equipment operating state and diagnosis of the fault type; The man-machine interaction module is integrated in the measuring display (6) and is used for realizing information interaction between the user and the equipment and displaying the information stored in the data storage module; The data transmission module is in communication connection with the flow calculation module and the data storage module, and is used for realizing external interaction of data.

4. A precession vortex gas flow meter according to claim 1, wherein The probe is fixedly connected with a piezoelectric sensor at the inner wall of the measuring pipe (2), the bottom surface of the measuring display (6) is provided with a data line sleeve in the pipeline (1), and the data line sleeve is provided with two transmission lines corresponding to the two measuring heads (4).

5. A precession vortex gas flow meter according to claim 4, wherein, Threaded holes are formed in the opposite surfaces of the two measuring heads (4), outer threaded columns are fixedly connected to the ends of the transmission lines, and the transmission lines are fixedly connected to the measuring heads (4) through the outer threaded columns.

6. A precession vortex gas flow meter according to claim 1 wherein, Real-time monitoring of the equipment operating state and diagnosis of the fault type are as follows: The signal amplitude in the vortex vibration signal output by the probe and the signal-to-noise ratio of the filtered signal are identified, and then the deviation between the real-time flow output by the flow calculation module and the historical average flow is recorded as a historical real flow difference value; The data interaction response time of the communication link of the data storage module, the data transmission module and the main control unit is detected, the signal amplitude, the signal-to-noise ratio, the historical real flow difference value and the data interaction response time are recorded as diagnosis data, A normal range is set for any parameter in the diagnosis data, if any parameter in the diagnosis data is not in its set normal range, the parameter is abnormal, and the number of abnormal times is recorded; the number of abnormal times of the parameter in the preset diagnosis time zone is identified; Statistical indicators of the parameters in the preset diagnosis time zone are calculated, including mean, variance and range value; The diagnosis values of the parameters are obtained by weighted calculation of each indicator in the statistical indicators and the number of abnormal times and their preset weights; A diagnosis threshold is set, the diagnosis values are compared with the diagnosis threshold, if the diagnosis values are greater than or equal to the diagnosis threshold, the parameters are abnormal, and the fault codes corresponding to the parameters are generated.

Images