CN104329569A - Method and device for diagnosing pipeline leakage based on state coupling analysis of pump unit - Google Patents
Method and device for diagnosing pipeline leakage based on state coupling analysis of pump unit Download PDFInfo
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- CN104329569A CN104329569A CN201410437655.5A CN201410437655A CN104329569A CN 104329569 A CN104329569 A CN 104329569A CN 201410437655 A CN201410437655 A CN 201410437655A CN 104329569 A CN104329569 A CN 104329569A
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Abstract
The invention relates to a method and a device for diagnosing pipeline leakage based on state coupling analysis of a pump unit. The method comprises the following steps of collecting the pressure of a pipeline and the state parameters of the pump unit in real time; denoising the pressure of the pipeline; extracting the feature of the denoised pressure of the pipeline, and according to the extracted feature, performing the abnormality catching treatment on the denoised pressure of the pipeline; judging whether the abnormal pressure of the pipeline is negative pressure wave or not; judging whether the negative pressure wave is caused by the operation of the pump unit or not, wherein if the pump unit is not in a stable mode, the negative pressure wave is caused by the operation of the pump unit and if the pump unit is in the stable mode, the leakage of the pipeline is determined.
Description
Technical field
The present invention relates to fault diagnosis field, particularly a kind of pipeline leakage diagnosis method based on pump assembly state coupling analysis and device.
Background technique
Along with the growth of China's oil and gas pipes Years Of Service, because of local etching, account for the Small leak event such as perforation, seepage that the factor such as pressure, external force collision causes for a long time and happen occasionally, serious environmental pollution and economic loss will be caused if find not in time, thereby promote developing rapidly of Discussion on Pipe Leakage Detection Technology.Negative pressure wave method, because of the feature that it is sensitive, accurate, applicability is strong, cost is low, easy to maintenance, has a wide range of applications in oil transportation station field pipeline leakage testing and leak source location.But negative pressure wave method operates the poor anti jamming capability of the suction wave caused to the equipment in oil transportation station field, valve, there is the problem that false alarm rate is higher, the impact station normal production run in field.Therefore, carry out pipeline leakage diagnosis research, the impact of remover apparatus, valve operation, the false alarm rate reducing leak diagnostics is significant.
In actual production storage and transport process, not only incident of leakage can produce suction wave, and in some stations, operation also can produce suction wave, and such as: upstream station termination of pumping, pass valve, downstream stations opens pump, drives inlet valve, Inner guide journey etc. of standing; In addition, in standing, under Oil drain operation, oil temperature, degradation also can produce suction wave, and these all may cause the false alarm of leak detection system.False alarm can cause the loss of personnel, material resources, financial resources equally, and therefore, pipeline leakage testing is necessary the generation reducing false alarm.
Summary of the invention
For solving the problems of the technologies described above, the present invention proposes a kind of pipeline leakage diagnosis method based on pump assembly state coupling analysis and device, for suction wave poor anti jamming capability, problem that false alarm rate is high, set up pump assembly state model of coupling, propose the pipeline leakage diagnosis technology based on feeding oil pump state coupling analysis, to the problem solving actual pipeline leakage diagnosis false alarm rate high, there is very strong practicability.
For achieving the above object, the invention provides a kind of pipeline leakage diagnosis method based on pump assembly state coupling analysis, the method comprises:
Pipeline pressure and pump assembly status parameter carry out Real-time Collection simultaneously;
Noise reduction process is carried out to described pipeline pressure;
Carry out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Judge whether described abnormal pipeline pressure is suction wave;
Whether operate by pump assembly the carrying out caused to described suction wave to judge; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
Preferably, the method for described noise reduction process is secondary threshold method.
Preferably, the method for described catch of exception process is reasoning from logic algorithm.
Preferably, the characteristic parameter that described feature extraction obtains is that pressure drop is along number Nd, pressure increase along number Nu and first and last point difference D.
Preferably, describedly judge that whether described abnormal pipeline pressure is that the step of suction wave comprises:
Feature extraction is carried out to described abnormal pipeline pressure;
Pattern recognition is carried out to the eigenvalue of abnormal pipeline pressure, judges whether described abnormal pipeline pressure is suction wave.
Preferably, describedly whether by pump assembly, the step that the carrying out that cause judge operated to described suction wave comprise:
Set up pump assembly standard state model;
Carry out feature extraction to pump assembly parameter, described pump assembly standard state model by judging to the eigenvalue of pump assembly parameter, obtains described pump assembly and whether is in stable mode.
For achieving the above object, present invention also offers a kind of pipeline leakage diagnosis device based on pump assembly state coupling analysis, this device comprises:
Collecting unit, carries out Real-time Collection for pipeline pressure and pump assembly status parameter simultaneously;
Noise reduction unit, for carrying out noise reduction process to described pipeline pressure;
Catch of exception unit, for carrying out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Suction wave judging unit, for judging whether described abnormal pipeline pressure is suction wave;
Diagnosis unit, for whether operating by pump assembly the carrying out caused to described suction wave judges; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
Technique scheme has following beneficial effect: for the problem of negative pressure wave method to equipment, the poor anti jamming capability of valve operation, easily generation false alarm, by setting up pump assembly state model, the impact of remover apparatus, valve operation, improves the accuracy rate of pipeline leakage testing identification greatly.Its main feature is:
(1) by selecting pump assembly behavioral parameters, and extracting its characteristic vector, building unit standard state model.Analyze oil transfer pump failure mode to characteristic impact, study coupling between itself and pipe-line system and become rule;
(2) contain the feature of little noise according to line pressure signal, propose a kind of secondary threshold deniosing algorithm and noise reduction is carried out to pressure signal, improve the capturing ability of suction wave;
(3) pump assembly state being divided, according to carrying out coupling analysis to it, getting rid of set state to the impact of suction wave false alarm; Leaked by field pipes and shut down data verification, showing that the method can effectively improve pipeline leakage testing recognition accuracy.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technological scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of pipeline leakage diagnosis method flow chart based on pump assembly state coupling analysis that the present invention proposes;
Fig. 2 is a kind of pipeline leakage diagnosis device block diagram based on pump assembly state coupling analysis that the present invention proposes;
Fig. 3 is the technological scheme flow chart of the present embodiment;
Fig. 4 is the pipeline pressure catch of exception algorithm flow chart of the logic-based reasoning of the present embodiment;
Fig. 5 is one of certain province's line pressure schematic diagram of the present embodiment;
Fig. 6 is the A station P204 pump assembly state parameter figure of the present embodiment;
Fig. 7 be the present embodiment based on the set state to be measured of Fig. 6 and the waveform spectrum comparison diagram of standard state;
Fig. 8 is the state parameter figure of the B station P203 pump assembly of the present embodiment;
Fig. 9 be the present embodiment based on the set state to be measured of Fig. 8 and the waveform spectrum comparison diagram of standard state;
Figure 10 is certain province's line pressure schematic diagram two of the present embodiment;
Figure 11 is the C station P204 pump assembly state parameter figure of the present embodiment;
Figure 12 be the present embodiment based on the set state to be measured of Figure 11 and the waveform spectrum comparison diagram of standard state.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technological scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The working principle of the technical program: first, by selecting pump assembly behavioral parameters, and extracts its characteristic vector, builds unit standard state model.Then, application secondary Threshold Noise Reduction Methods, to line pressure signal noise reduction, judges whether to there is suction wave.If produce suction wave; start unit state model, judge whether suction wave is caused by unit operation, if this suction wave alarm then can be got rid of, otherwise known have leak generation.The technical program, on the basis of conventional suction wave detecting method, adopts secondary thresholding algorithm to carry out noise reduction to negative pressure wave signal, improves the discrimination of leakage mode coupling.Meanwhile, increase the Real-time Collection of pump assembly status parameter, set up set state model, operate as start and stop pump in eliminating station, adjust the interference to leakage mode identification such as valve, Inner guide of standing, the false alarm rate of reduction leak diagnostics identification greatly.
As shown in Figure 1, be a kind of pipeline leakage diagnosis method flow chart based on pump assembly state coupling analysis of the present invention's proposition.The method comprises:
Step 101): pipeline pressure and pump assembly status parameter carry out Real-time Collection simultaneously;
Step 102): noise reduction process is carried out to described pipeline pressure;
Step 103): carry out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Step 104): judge whether described abnormal pipeline pressure is suction wave;
Step 105): whether by pump assembly, the carrying out caused is operated to described suction wave and judges; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
Preferably, the method for described noise reduction process is secondary threshold method.
Preferably, the method for described catch of exception process is reasoning from logic algorithm.
Preferably, the characteristic parameter that described feature extraction obtains is that pressure drop is along number Nd, pressure increase along number Nu and first and last point difference D.
Preferably, describedly judge that whether described abnormal pipeline pressure is that the step of suction wave comprises:
Feature extraction is carried out to described abnormal pipeline pressure;
Pattern recognition is carried out to the eigenvalue of abnormal pipeline pressure, judges whether described abnormal pipeline pressure is suction wave.
Preferably, describedly whether by pump assembly, the step that the carrying out that cause judge operated to described suction wave comprise:
Set up pump assembly standard state model;
Carry out feature extraction to pump assembly parameter, described pump assembly standard state model by judging to the eigenvalue of pump assembly parameter, obtains described pump assembly and whether is in stable mode.
As shown in Figure 2, be a kind of pipeline leakage diagnosis device block diagram based on pump assembly state coupling analysis of the present invention's proposition.This device comprises:
Collecting unit 201, carries out Real-time Collection for pipeline pressure and pump assembly status parameter simultaneously;
Noise reduction unit 202, for carrying out noise reduction process to described pipeline pressure;
Catch of exception unit 203, for carrying out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Suction wave judging unit 204, for judging whether described abnormal pipeline pressure is suction wave;
Diagnosis unit 205, for whether operating by pump assembly the carrying out caused to described suction wave judges; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
Embodiment:
As shown in Figure 3, be the method flow diagram of the present embodiment.On the basis of conventional suction wave detecting method, adopt secondary thresholding algorithm to carry out noise reduction to negative pressure wave signal, improve the discrimination of leakage mode coupling.Meanwhile, as shown in Figure 3, increase the Real-time Collection of pump assembly status parameter, set up set state model, operate as start and stop pump in eliminating station, adjust the interference to leakage mode identification such as valve, Inner guide of standing, the false alarm rate of reduction leak diagnostics identification greatly.
For the more stable feature of long distance pipeline pressure surge, first utilize threshold decision method to carry out noise reduction process to real-time pressure data, then extract data characteristics index, finally adopt the seizure of reasoning from logic algorithm realization pressure anomaly.The characteristic index extracted is mainly the statistical nature index in data segment, comprising: rising edge number Nu, trailing edge number Nd, first and last point difference D etc., the flow process of this reasoning from logic algorithm as shown in Figure 4.Add up according to historical data, trailing edge number threshold value Td is set, rising edge number threshold value Tu, first and last difference threshold Tt, persistent anomaly trailing edge number Cu, persistent anomaly first and last difference Ct, continuous abnormal times N a, frequency of abnormity threshold value Ta.Obtain real-time pipeline pressure data from data buffer area, and by secondary threshold deniosing, pretreatment is carried out to it.Calculate the rising edge number Nu of this data segment, trailing edge number Nd, first and last point difference D respectively.If a upper moment pressure is normal, then calculate Nd>Td successively, whether Nu<Tu, D>Tt set up.Illustrate that if be false pressure is normal; Otherwise Na=Na+1, then judge Na>Ta, set up and then can be judged to be pressure anomaly output alarm, it is then normal for being false.If a upper moment pressure anomaly, then judge Nu>Cu successively, whether D>Ct sets up.If set up, then reset Na, pipeline pressure is normal; Otherwise be judged as persistent anomaly.
Adopt the technological scheme of above-mentioned Fig. 3 and Fig. 4, pipeline fault identification be analyzed as follows:
One, pipe leakage identification instance analysis
Economize domestic crude oil long-distance transmission pipeline for certain, have 4 oil transportation stations, be followed successively by A station, B station, C station and D station.Monitoring system gathers pipeline pressure and unit parameter simultaneously.Morning one day about 02:20, leak detection system successively captures B station and to enter the station and A stands Outlet pressure exception, and pipeline pressure is as shown in Figure 5.Upstream Outlet pressure decline 0.09MPa, downstream Inlet pressure decline 0.06MPa.
Now start set state coupling analysis function, first determine that the unit relevant to this pipeline is: stand P204 pump and B of A stands P203 pump, and wherein the process variable of A station P204 pump as shown in Figure 6; Then the unit parameter waveform spectrum calculating P204 pump is: S={1.2277,1.2431,1.2524,1.2501,1.2889,1.400,1.3616,1.2924,1.1147,1.000,1.1431,2.05}, with the contrast of five kinds of standard state waveform spectrum as shown in Figure 7.
Finally, calculate the Hamming distances that this unit waveform spectrum S to be measured and reference waveform compose and be respectively: 0.9525,0.6114,0.7123,0.8034 and 0.7273, getting the known now A of its maximum value P204 pump assembly of standing is normal feed status.
As shown in Figure 8, be the state parameter figure of the B station P203 pump assembly of the present embodiment.Same method can show that the unit parameter waveform spectrum of this pump assembly is: S={1.2164,1.2201,1.2427,1.2737,1.2376,1.2266,1.6142,1.3197,1.2042,1.000,1.1803,1.7024}, with the contrast of five kinds of standard state waveform spectrum as shown in Figure 9.
Calculate the Hamming distances that this unit to be measured (B stand P203 pump assembly) waveform spectrum S and reference waveform compose to be respectively: 0.9480,0.6132,0.7385,0.8248 and 0.7519, getting its maximum value known now B station P203 pump assembly is also normal feed status.
Because the upstream station P204 pump the most relevant to this pipe ends pressure state amount and downstream stations P203 pump operation state are normal feed status, therefore, leak detection system coupling analysis is thought, this pressure anomaly is not caused by set state changes, and then judging that A station to B station pipeline section there occurs incident of leakage, system have issued pipe leakage and reports to the police.
In order to avoid leaking the serious consequence brought, after dispatcher confirms to report to the police, arrange stopping transportation completely in time, and sent breakdown gang to rush towards accident pipeline section to rush to repair.Confirm through repairing center, A station to B station pipeline section there occurs Manual punching stolen accident really.Can be known by complete pressure drop waveform afterwards, this stolen continues about 20 minutes, is 5m according to stolen molecule used oil tank car
3calculate, estimating leak rate is 15m
3/ h, managing defeated total amount is at that time 1650m
3/ h, therefore can calculate this leakage rate detected and be about 0.9%.According to alarm logging, the reaction time that this Leak testtion is reported to the police be 1 point 50 seconds, meet the ageing requirement of on-the-spot leak detection.
Two, the false alarm that the amount of falling termination of pumping causes gets rid of instance analysis
Leak detection system successively captures C departures and D Inlet pressure exception, and pipeline pressure as shown in Figure 10.Upstream Outlet pressure decline 0.35MPa, downstream Inlet pressure decline about 0.3MPa.
Now start set state coupling analysis module, first determine that the unit relevant to this pipeline is: stand P204 pump assembly and D of C stands P202 pump assembly, and wherein the process variable of C station P204 pump as shown in figure 11; Then the unit parameter waveform spectrum calculating P204 pump is: S={1.0065,1.006,1.0088,1.008,1.0177,1.0718,1.004,1.2269,1.2192,1.4991,1.0569,1.3115}, with the contrast of five kinds of standard state waveform spectrum as shown in figure 12.
Calculate the Hamming distances that this unit to be measured (C stand P204 pump) waveform spectrum S and reference waveform compose to be respectively: 0.7369,0.6936,0.9692,0.8650 and 0.8737, get the known now unit of its maximum value and be in termination of pumping operating process.
Therefore, system, coupled is thought, this pressure anomaly, caused by the termination of pumping of C station P204 pump, only sends pressure anomaly prompting.Through the confirmation of spot dispatch center, because of when all oil transportation tasks are close to completing, performing termination of pumping completely and subtracting defeated operation, the C that stopped transport station P204 pump assembly.Therefore, the method for set state coupling analysis is utilized successfully to eliminate this pipe leakage false alarm.
In sum, this time pressure drop is operated by the termination of pumping of the petroleum pipeline amount of falling and causes.As can be seen from the result that this pressure anomaly detects, the pipeline leakage diagnosis based on coupling variable working condition can detect the exception of pipeline pressure effectively, reaches the object reducing false alarm, improve pipeline leakage diagnosis accuracy rate.Meanwhile, if research coupling becomes rule further, set up the operating mode self-organization optimization algorithm diagnostic model of feeding oil pump fault, according to the diagnosis algorithm of the preferred oil transfer pump fault of operating mode, can effectively improve equipment fault diagnosis discrimination.
Above-described embodiment; object of the present invention, technological scheme and beneficial effect are further described; be understood that; the foregoing is only the specific embodiment of the present invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (7)
1. based on a pipeline leakage diagnosis method for pump assembly state coupling analysis, it is characterized in that, the method comprises:
Pipeline pressure and pump assembly status parameter carry out Real-time Collection simultaneously;
Noise reduction process is carried out to described pipeline pressure;
Carry out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Judge whether described abnormal pipeline pressure is suction wave;
Whether operate by pump assembly the carrying out caused to described suction wave to judge; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
2. the method for claim 1, is characterized in that, the method for described noise reduction process is secondary threshold method.
3. the method for claim 1, is characterized in that, the method for described catch of exception process is reasoning from logic algorithm.
4. method as claimed in claim 3, is characterized in that, the characteristic parameter that described feature extraction obtains is that pressure drop is along number Nd, pressure increase along number Nu and first and last point difference D.
5. the method for claim 1, is characterized in that, describedly judges that whether described abnormal pipeline pressure is that the step of suction wave comprises:
Feature extraction is carried out to described abnormal pipeline pressure;
Pattern recognition is carried out to the eigenvalue of abnormal pipeline pressure, judges whether described abnormal pipeline pressure is suction wave.
6. the method for claim 1, is characterized in that, describedly whether operates by pump assembly the step that the carrying out that cause judge to described suction wave and comprises:
Set up pump assembly standard state model;
Carry out feature extraction to pump assembly parameter, described pump assembly standard state model by judging to the eigenvalue of pump assembly parameter, obtains described pump assembly and whether is in stable mode.
7. based on a pipeline leakage diagnosis device for pump assembly state coupling analysis, it is characterized in that, this device comprises:
Collecting unit, carries out Real-time Collection for pipeline pressure and pump assembly status parameter simultaneously;
Noise reduction unit, for carrying out noise reduction process to described pipeline pressure;
Catch of exception unit, for carrying out feature extraction to the pipeline pressure after noise reduction process, the feature according to extracting carries out catch of exception process to the pipeline pressure after noise reduction process;
Suction wave judging unit, for judging whether described abnormal pipeline pressure is suction wave;
Diagnosis unit, for whether operating by pump assembly the carrying out caused to described suction wave judges; Wherein, if described pump assembly is not in stable mode, then described suction wave is operated by pump assembly and causes; If described pump assembly is in stable mode, then confirm pipe leakage.
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Cited By (1)
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| CN112377817A (en) * | 2020-11-11 | 2021-02-19 | 杭州电子科技大学 | Municipal pipe network pipe explosion monitoring system and method |
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