CN107218984B - Online diagnosis system and method for natural gas turbine flowmeter - Google Patents
Online diagnosis system and method for natural gas turbine flowmeter Download PDFInfo
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 74
- 239000003345 natural gas Substances 0.000 title claims abstract description 37
- 238000003745 diagnosis Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims description 27
- 238000001514 detection method Methods 0.000 claims abstract description 48
- 238000004891 communication Methods 0.000 claims abstract description 13
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 230000003321 amplification Effects 0.000 claims abstract description 9
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 30
- 238000012360 testing method Methods 0.000 claims description 15
- 238000007493 shaping process Methods 0.000 claims description 8
- 238000002955 isolation Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 6
- 230000010349 pulsation Effects 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 4
- 230000036541 health Effects 0.000 claims description 4
- 238000002405 diagnostic procedure Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
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- 238000010586 diagram Methods 0.000 description 7
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- 230000000007 visual effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000001595 flow curve Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
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- 230000000474 nursing effect Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
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- 230000005856 abnormality Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003054 catalyst Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F25/00—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume
- G01F25/10—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters
- G01F25/15—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters specially adapted for gas meters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/05—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects
- G01F1/20—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by detection of dynamic effects of the flow
- G01F1/32—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by detection of dynamic effects of the flow using swirl flowmeters
- G01F1/3236—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by detection of dynamic effects of the flow using swirl flowmeters using guide vanes as swirling means
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Abstract
The invention provides an on-line diagnosis system of a natural gas vortex flowmeter, which comprises a turbine flowmeter, a flow computer, a turbine flowmeter detection tool and a detection computer, wherein the turbine flowmeter is connected with the flow computer; the turbine flowmeter is respectively connected with the flow computer and the turbine flowmeter detection tool, and the turbine flowmeter detection tool is connected with the detection computer; the turbine flowmeter detection tool comprises a communication module, a UPS power supply module, a pulse acquisition unit, a signal amplification unit and a high-precision time measurement module which are electrically connected in sequence; the communication module, the pulse acquisition unit, the signal amplification unit and the high-precision time measurement module are respectively and electrically connected with the UPS power supply module. The invention does not need to detach the flowmeter from the metering facility during detection, and has the advantages of portability, cost reduction and precision improvement.
Description
Technical Field
The invention belongs to the technical field of flow meters, and particularly relates to an online diagnosis system and method for a natural gas vortex flowmeter.
Background
In modern industry, metering plays an indispensable role, and flow metering is one of the components of metering science and technology, which is closely related to increasingly developed national economy, national defense construction, scientific research and the like. A flowmeter is simply a meter for measuring the flow of fluid in a pipe or open channel. Among the various flow meters, there are turbine flow meters, which are novel intelligent meters integrated with turbine flow sensors and display developed by advanced ultra-low power consumption single chip microcomputer technology, and have the obvious advantages of compact mechanism, visual and clear reading, high reliability, no interference from external power supply, lightning resistance, low cost and the like.
At present, along with the aspects that natural gas spreads over industrial production and daily life, people also put forward higher requirements to the detection of natural gas, in the natural gas flow detection field, current flowmeter detection technology needs to remove the flowmeter from the metering facility, influences user normal use, and detects the cycle length, and the expense is high. Turbine flowmeters belong to a mechanical principle metering device, which decreases in performance over time. However, since the natural gas detection period is natural, in most cases, the turbine flowmeter is damaged or fails when the detection period is not yet reached, which brings great inconvenience to users.
The patent turbine flowmeter detecting device has the application number (CN20090097534. X), a rectifier and an impeller assembly are arranged in a shell, and a magneto-sensitive sensor and a fault sensor are fixed in the shell and connected with a flow integrating instrument. The magnetic sensor, the fault sensor, the rectifier and the impeller assembly are arranged in a shell and are combined with the flow integrating instrument into a whole. The fault signal detected by the fault sensor and the flow signal detected by the magnetic sensor are respectively displayed on a display screen of the flow integrating instrument; the fault sensor and the mounting position and sequence of the fault sensor can be adjusted according to the different calibers of the shell. According to the rotation angular velocity of the impeller and the proportion of the fluid flow velocity, a certain visual relation is formed, and the technical problem of extremely small error metering of the flowmeter is solved. However, although the device solves the visual relation between the rotation angular velocity of the impeller and the fluid flow velocity, the data dimension is limited, the mode is single, the device is not portable, and the data acquisition accuracy is required to be improved.
Therefore, there is a strong need for an online diagnostic system and method for a natural gas vortex flowmeter that collects data in multiple dimensions, has high accuracy of detection results, is portable in the device, and has low cost.
Disclosure of Invention
The invention aims to provide an online diagnosis system and method for a natural gas vortex flowmeter, which are used for solving the problems of narrow dimension, incomplete analysis, low efficiency, low accuracy and insufficient portability of the acquired data in the prior art.
The invention provides the following technical scheme:
an on-line diagnosis system for a natural gas turbine flowmeter comprises a turbine flowmeter, a flow computer, a turbine flowmeter detection tool and a detection computer; the turbine flowmeter is respectively connected with the flow computer and the turbine flowmeter detection tool, and the turbine flowmeter detection tool is connected with the detection computer; the turbine flowmeter detection tool comprises a communication module, a UPS power supply module, a pulse acquisition unit, a signal amplification unit and a high-precision time measurement module which are electrically connected in sequence; the communication module, the pulse acquisition unit, the signal amplification unit and the high-precision time measurement module are respectively and electrically connected with the UPS power supply module.
Preferably, the turbine flowmeter comprises turbine blades and a high-frequency generator, the turbine blades are arranged inside the turbine flowmeter, the high-frequency generator is fixed on the side face of the turbine flowmeter, and the high-frequency generator is connected with a sensor, and the sensor faces the turbine blades and is arranged to collect movement state information of the turbine blades conveniently.
Preferably, the sensor is connected with the pulse acquisition unit, so that the pulse acquisition unit can amplify and output the sensor signal in the high-frequency signal generator, and the detection effect is improved.
Preferably, the pulse collecting unit comprises a pulse isolation shaping unit, and the pulse isolation shaping unit is connected with the signal amplifying unit, so that weak current signals transmitted by the sensor are more favorably converted into amplified voltage signals.
Preferably, the turbine flowmeter detecting tool comprises a portable suitcase, the portable suitcase comprises a case body and a case cover which are mutually hinged, the communication module is fixed on the case cover, the pulse collecting unit, the signal amplifying unit, the high-precision time measuring module and the UPS power supply module are fixed in the case body, a through hole is further communicated with the side face of the portable suitcase, a gram head matched with the through hole is arranged in the through hole, the portable suitcase is convenient to fix an output connecting wire, and the portable suitcase is compact in overall structure and high in stability.
Preferably, the UPS power supply module adopts 24V DC UPS to ensure that the whole diagnosis process is not interfered by signals.
Preferably, the turbine flowmeter further comprises an air inlet and an air outlet, the air inlet and the air outlet are respectively communicated with a natural gas pipeline, an air flow discharge port is further communicated with the natural gas pipeline near one side of the air outlet, and the turbine flowmeter is convenient to drive the turbine flowmeter impeller to rotate by discharging natural gas under the condition that valves at two ends of the turbine flowmeter are closed, so that pulses are generated, and diagnosis is convenient.
An on-line diagnosis method for a natural gas turbine flowmeter comprises the following steps: s1, frequency acquisition, namely amplifying current pulses generated when a turbine blade passes through a sensor in a high-frequency generator into voltage pulses, and providing the signals to a detection computer through a high-precision time measurement module; s2, data processing, wherein the detection computer processes the voltage pulse acquired in the S1 to generate a corresponding curve image; and S3, analyzing and diagnosing, and comparing the change conditions of the curve images acquired at different time points in the step S2 by adopting a comparison method.
Preferably, the step S2 includes the following processing methods: detecting an impeller, acquiring a frequency signal in real time, generating an operation condition curve of a turbine blade, and analyzing the discrete condition of the curve to obtain the health condition of the turbine blade and the dynamic balance state of the turbine blade; error drift analysis, namely acquiring a frequency signal in real time, generating an error drift curve, and comparing the difference value of an actual curve and a theoretical curve to acquire an error drift condition; bearing state testing, namely collecting turbine blade operation characteristic curves of the turbine flowmeter aiming at different flows, observing pulsation and shape of the curves, and obtaining the state of a bearing; and (3) carrying out real-time error analysis, obtaining a frequency signal in real time, generating an error curve, and comparing the difference between an actual curve and a theoretical curve to obtain the overall real-time running state of the turbine flowmeter.
Preferably, the impeller detection is based on the same flow conditions; the error drift analysis is based on the small flow condition that the turbine flowmeter is greatly influenced by friction force and dynamic balance; the bearing state test and the real-time error analysis are both based on the same time condition, which is beneficial to improving the reference value of the acquired data.
The beneficial effects of the invention are as follows:
1. the portable suitcase is adopted, the hardware system is partially incorporated, the whole structure is compact and stable, and the portable suitcase is convenient to carry and use;
2. the pulse isolation shaping unit is matched with the signal amplifying unit, so that the accuracy of signal transmission is improved;
3. the operability is stronger by using a comparison method for diagnosis;
4. the method combines impeller detection, error drift analysis, bearing state test and real-time error analysis, is favorable for carrying out on-line analysis and diagnosis on the impeller, the high-frequency generator, the bearing and the lubrication system of the turbine flowmeter, comprehensively grasps the running state of the turbine flowmeter, and is convenient for timely maintenance and nursing.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of a system of the present invention;
FIG. 2 is a schematic perspective view of a portable suitcase;
FIG. 3 is a waveform diagram of the results of the impeller detection analysis;
FIG. 4 is a graph of an impeller detection 3D analysis spectrum;
FIG. 5 is a waveform diagram of the results of the impeller detection analysis in a normal condition;
FIG. 6 is a waveform diagram of the error drift analysis result;
FIG. 7 is a graph of a bearing condition test analysis result;
FIG. 8 is a waveform diagram of the results of real-time error analysis;
fig. 9 is a flow test data line graph.
Wherein: 1. the system comprises a turbine flowmeter, 2 parts of turbine blades, 3 parts of high-frequency generator, 4 parts of sensor, 5 parts of natural gas pipeline, 6 parts of air flow discharge port, 7 parts of box cover, 8 parts of box body, 9 parts of through hole, 10 parts of flow computer, 11 parts of turbine flowmeter detection tool, 12 parts of communication module, 13 parts of pulse acquisition unit, 14 parts of pulse isolation shaping unit, 15 parts of signal amplification unit, 16 parts of high-precision time measurement module, 17 parts of UPS power supply module and 18 parts of detection computer.
Detailed Description
An on-line diagnosis system for a natural gas turbine flowmeter comprises a turbine flowmeter 1, a flow computer 10, a turbine flowmeter detection tool 11 and a detection computer 18; the turbine flowmeter 1 is respectively connected with a flow computer 10 and a turbine flowmeter detecting tool 11, and the turbine flowmeter detecting tool 11 is connected with a detecting computer 18; the turbine flowmeter detecting tool 11 comprises a communication module 12, a UPS power supply module 17, a pulse acquisition unit 13, a signal amplifying unit 15 and a high-precision time measuring module 16 which are electrically connected in sequence; the communication module 12, the pulse acquisition unit 13, the signal amplification unit 15 and the high-precision time measurement module 16 are respectively and electrically connected with the UPS power supply module 17.
The turbine flowmeter 1 includes turbine blade 2 and high frequency generator 3, and turbine blade 2 locates inside the turbine flowmeter 1, and high frequency generator 3 is fixed in turbine flowmeter 1 side, and high frequency generator 3 is connected with a sensor 4, and sensor 4 sets up towards turbine blade 2, is convenient for gather turbine blade 2's motion state information. The sensor 4 is connected with the pulse acquisition unit 13, so that the pulse acquisition unit 13 can amplify and output the signal of the sensor 4 in the high-frequency signal generator 3, and the detection effect is improved. The pulse acquisition unit 13 comprises a pulse isolation shaping unit 14, and the pulse isolation shaping unit 14 is connected with a signal amplifying unit 15, so that weak current signals transmitted by the sensor 4 are more favorably converted into amplified voltage signals. The turbine flowmeter detecting tool 11 comprises a portable suitcase, the portable suitcase comprises a case body 8 and a case cover 7 which are mutually hinged, the communication module 12 is fixed on the case cover 7, the pulse collecting unit 13, the signal amplifying unit 15, the high-precision time measuring module 16 and the UPS power supply module 17 are fixed in the case body 8, the side face of the portable suitcase is also communicated with a through hole 9, a gram head matched with the through hole 9 is arranged in the through hole 9, the portable suitcase is convenient to fix an output connecting wire, and the portable suitcase has a compact overall structure and high stability. The UPS power module 17 employs a 24V DC UPS to ensure that the entire diagnostic process is not interfered by signals. The turbine flowmeter 1 further comprises an air inlet and an air outlet, the air inlet and the air outlet are respectively communicated with a natural gas pipeline 5, an airflow discharge port 6 is further communicated with the natural gas pipeline 5 near one side of the air outlet, and the turbine flowmeter is convenient to drive the turbine blades 2 to rotate by discharging natural gas under the condition that valves at two ends of the turbine flowmeter 1 are closed, so that pulses are generated, and diagnosis is convenient.
An on-line diagnosis method for a natural gas turbine flowmeter comprises the following steps: s1, frequency acquisition, namely amplifying current pulses generated when the turbine blade 2 passes through a sensor 4 in a high-frequency generator 3 into voltage pulses, and providing the signals to a detection computer 18 through a high-precision time measurement module 16; s2, data processing, wherein the detection computer 18 processes the voltage pulse acquired in the S1 to generate a corresponding curve image; and S3, analyzing and diagnosing, and comparing the change conditions of the curve images acquired at different time points in the step S2 by adopting a comparison method.
S2, the following processing method is included: detecting an impeller, acquiring a frequency signal in real time, generating an operation condition curve of the turbine blade 2, and analyzing the discrete condition of the curve to obtain the health condition of the turbine blade 2 and the dynamic balance state of the turbine blade 2; error drift analysis, namely acquiring a frequency signal in real time, generating an error drift curve, and comparing the difference value of an actual curve and a theoretical curve to acquire an error drift condition; bearing state testing, namely collecting running characteristic curves of turbine blades 2 of the turbine flowmeter aiming at different flows, observing pulsation and shape of the curves, and obtaining the state of a bearing; and (3) carrying out real-time error analysis, obtaining a frequency signal in real time, generating an error curve, and comparing the difference between an actual curve and a theoretical curve to obtain the real-time running state of the whole turbine flowmeter 1. Impeller detection is based on the same flow conditions; the error drift analysis is based on the small flow condition that the turbine flowmeter is subjected to friction force and dynamic balance influence quantity is large; the bearing state test and the real-time error analysis are based on the same time condition, so that the reference value of the acquired data can be improved.
Specifically, in actual operation, the turbine flowmeter 1 is selected, under the condition that the UPS power supply module 17 is connected, the sensor 4 detects the rotation parameters of the turbine blade 2, the rotation parameters are transmitted to the pulse collecting unit 13 in the turbine flowmeter detecting tool 11 through the high-frequency generator 3, the pulse isolating and shaping unit 14 in the pulse collecting unit 13 isolates and shapes the signals, the signals are amplified through the signal amplifying unit 15 and output through the high-precision time measuring module 16 through the through hole 9, the external detecting computer 18 is used for detecting and observing the running state of the natural gas turbine flowmeter 1 in real time, the turbine flowmeter detecting tool 11 is a portable suitcase, and the communication module 12 on the case cover 7 of the turbine flowmeter detecting tool can be connected with an upper computer through a network, so that the background stability and the overall reliability of system detection are further ensured.
The turbine flowmeter was first tested when just put into service, was second tested after 6 months of operation, and tested under conditions of minimum flow, 20% maximum flow, 40% maximum flow and maximum flow, respectively, to obtain data for comparison to comprehensively obtain the flow slip condition of the turbine flowmeter 6 months after operation, and specific test data are shown in table 1.
| Classification | Qmin | 20％Qmax | 40％Qmax | Qmax |
| First detection | 0.73 | 0.68 | 0.79 | 0.94 |
| After 6 months of operation | -0.44 | 0.25 | 0.55 | 0.57 |
| Running downslide | 1.17 | 0.43 | 0.24 | 0.37 |
TABLE 1
As shown in fig. 9, fig. 9 is a line graph obtained from the data in table 1, and the judgment method is a comparison method, so that the tendency of the flow of the natural gas vortex flowmeter to slide down with the passage of time is more intuitively reflected, and the performance change condition of the flowmeter is diagnosed. As can be seen from this set of test data, the natural gas turbine flowmeter had an average 55% performance drop and a maximum 117% performance drop after 6 months of use, for a gas usage of 10 years 7 Nm 3 The user of (2) has 5.5X10 after accounting 4 Nm 3 And a large economic loss is caused by the flow difference of the catalyst. With the present invention, it is therefore intended to discover as soon as possible the flow rate variation of a natural gas turbine flowmeter, suppressing or preventing this phenomenon.
In the online diagnosis method of the natural gas turbine flowmeter, "impeller detection", "error drift analysis", "bearing state test", "real-time error analysis" refer to the analysis results of different directions obtained by performing different mathematical processes on the same set of measurement data, and the detailed analysis process is described below:
the impeller detection is to obtain the running condition of each impeller of the turbine flowmeter by analyzing the frequency signals obtained in real time under the condition that the flow of the gas turbine flowmeter is relatively stable, and the health condition of each blade in the impeller of the turbine flowmeter and the dynamic balance state of the impeller can be clearly reflected by the curve after fine analysis. As shown in the waveforms of fig. 3 and the 3D analysis results of fig. 4, the rotational frequency of the turbine blades shows significant dispersion, indicating that an abnormality occurs in the turbine wheel or the shaft of the turbine, i.e., maintenance and repair are required in time.
After maintenance and nursing, the dynamic data of the turbine blade is tested again to obtain the waveform diagram, and the waveform diagram shows high rotation consistency, so that the turbine blade is normal in motion state.
The error drift analysis mainly analyzes the drift condition of the error of the turbine flowmeter under the condition of small flow with larger influence of friction force and dynamic balance, and as shown in fig. 6, the upper curve is a theoretical curve, the lower curve is a theoretical curve, and the closer the theoretical curve and the actual curve are, the better the performance of the flowmeter is.
In the bearing state test, characteristic curves of the turbine flowmeter are collected for different flows in the same time range, pulsation and shape of the curves are observed, and the state of the bearing is obtained, so that the characteristic curves of the turbine at different flows can be obviously seen in a three-dimensional frequency spectrum shown in fig. 7, and generally about 20% Qmax gradually disappears along with the rising of the flows; the installation and structural pulsation curves are sloped arc-like transition curves, often accompanied by larger pulsations within the pipe; the transmission aspect is characterized by a relatively sharp pulse pattern, which indicates that there is a problem with the impeller bearing or shaft.
The real-time error analysis can clearly reflect the error drift condition of the turbine flowmeter by analyzing the truncated flow integral values of the turbine flowmeter at different time points, as shown in fig. 8, particularly, comparing the theoretical value, the first installation test value and the test value after a period of use. In fig. 8, the upper curve represents an ideal curve, the lower curve is an actual flow curve when the natural gas turbine flowmeter is greatly affected by friction, at this time, whether the difference between the actual flow curve and the ideal curve is larger than a preset reasonable difference is observed, and if the difference is exceeded, maintenance and repair are indicated.
The foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but the present invention is described in detail with reference to the foregoing embodiments, and it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or that equivalents may be substituted for part of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The natural gas vortex flowmeter online diagnosis method comprises a natural gas vortex flowmeter online diagnosis system, wherein the natural gas vortex flowmeter online diagnosis system comprises a turbine flowmeter, a flow computer, a turbine flowmeter detection tool and a detection computer; the turbine flowmeter is respectively connected with the flow computer and the turbine flowmeter detection tool, and the turbine flowmeter detection tool is connected with the detection computer; the turbine flowmeter detection tool comprises a communication module, a UPS power supply module, a pulse acquisition unit, a signal amplification unit and a high-precision time measurement module which are electrically connected in sequence; the communication module, the pulse acquisition unit, the signal amplification unit and the high-precision time measurement module are respectively and electrically connected with the UPS power supply module; the method is characterized by comprising the following steps of:
s1, frequency acquisition, namely amplifying current pulses generated when a turbine blade passes through a sensor in a high-frequency generator into voltage pulses, and providing the voltage pulse signals to a detection computer through a high-precision time measurement module;
s2, data processing, wherein the detection computer processes the voltage pulse acquired in the S1 to generate a corresponding curve image;
s3, analyzing and diagnosing, and comparing the change conditions of the curve images acquired at different time points in the S2 by adopting a comparison method;
the S2 comprises the following processing method:
detecting an impeller, acquiring a frequency signal in real time, generating an operation condition curve of a turbine blade, and analyzing the discrete condition of the curve to obtain the health condition of the turbine blade and the dynamic balance state of the turbine blade;
error drift analysis, namely acquiring a frequency signal in real time, generating an error drift curve, and comparing the difference value of an actual curve and a theoretical curve to acquire an error drift condition;
bearing state testing, namely collecting turbine blade operation characteristic curves of the turbine flowmeter aiming at different flows, observing pulsation and shape of the curves, and obtaining the state of a bearing;
real-time error analysis, namely acquiring a frequency signal in real time, generating an error curve, and comparing the difference between an actual curve and a theoretical curve to obtain the overall real-time running state of the turbine flowmeter;
the impeller detection is based on the same flow conditions; the error drift analysis is based on the small flow condition that the turbine flowmeter is greatly influenced by friction force and dynamic balance; the bearing condition test and the real-time error analysis are both based on the same time condition.
2. The on-line diagnosis method for a natural gas turbine flowmeter according to claim 1, wherein the turbine flowmeter comprises turbine blades and a high-frequency generator, the turbine blades are arranged inside the turbine flowmeter, the high-frequency generator is fixed on the side face of the turbine flowmeter, and a sensor is connected to the high-frequency generator and is arranged towards the turbine blades.
3. The on-line diagnostic method of a natural gas vortex flowmeter of claim 2 wherein the sensor is connected to the pulse acquisition unit.
4. A natural gas vortex flowmeter on-line diagnostic method as claimed in claim 1 or 3 wherein the pulse acquisition unit comprises a pulse isolation shaping unit connected to the signal amplification unit.
5. The on-line diagnosis method of a natural gas turbine flowmeter according to claim 1, wherein the turbine flowmeter detecting tool comprises a portable suitcase, the portable suitcase comprises a suitcase body and a suitcase cover which are hinged with each other, the communication module is fixed on the suitcase cover, the pulse collecting unit, the signal amplifying unit, the high-precision time measuring module and the UPS power supply module are fixed in the suitcase body, a through hole is further communicated with the side face of the portable suitcase, and a gram head matched with the through hole is arranged in the through hole.
6. The method of claim 1, wherein the UPS power module is a 24V DC UPS.
7. The on-line diagnosis method of a natural gas turbine flowmeter according to claim 1, wherein the turbine flowmeter further comprises an air inlet and an air outlet, the air inlet and the air outlet are respectively communicated with a natural gas pipeline, and an air flow discharge port is further communicated with the natural gas pipeline near one side of the air outlet.
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| CN110749355A (en) * | 2019-08-29 | 2020-02-04 | 天信仪表集团有限公司 | Diagnostic method based on rotational inertia |
| CN114427902B (en) * | 2021-12-30 | 2024-03-26 | 广东旭诚科技有限公司 | Flow automatic checking device based on Internet of things and steady-state curve algorithm and application thereof |
| CN115218996A (en) * | 2022-05-30 | 2022-10-21 | 国家石油天然气管网集团有限公司 | Special signal generating device for flow computer verification and generating method thereof |
| CN115468634A (en) * | 2022-11-02 | 2022-12-13 | 江苏水科尚禹能源技术研究院有限公司 | Turbine flowmeter calibration detection method and device |
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