CN113670512A - Pipe cleaner blockage detection method based on mold maximum single-scale correlation - Google Patents
Pipe cleaner blockage detection method based on mold maximum single-scale correlation Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L23/00—Devices or apparatus for measuring or indicating or recording rapid changes, such as oscillations, in the pressure of steam, gas, or liquid; Indicators for determining work or energy of steam, internal-combustion, or other fluid-pressure engines from the condition of the working fluid
- G01L23/26—Details or accessories
- G01L23/32—Apparatus specially adapted for recording pressure changes measured by indicators
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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Abstract
A pipe cleaner blocking detection method based on mould maximum single-scale correlation comprises the following steps: s1, detecting real-time dynamic pressure wave signals of the pipeline through the dynamic pressure transmitter; s2, synchronously storing the dynamic pressure wave signals of the pipeline by using the PPS interface of the GPS; s3, decomposing the dynamic pressure wave signal by adopting multi-scale wavelet analysis to separate the jamming signal from the noise signal, and selecting a frequency band containing a cleaner jamming signal according to a mode-maximum single-scale correlation principle; s4, performing wavelet decomposition on the normal historical data by using the same-scale wavelet transform, solving the distribution function of each frequency band, and determining the corresponding threshold of each layer according to the confidence level; and S5, judging whether the pipeline is blocked or not by solving the threshold value of the corresponding scale, and triggering an alarm device to alarm and remind if the pipeline is blocked. The method can effectively eliminate the noise signal in the detection process, and effectively improve the accuracy and the detection efficiency of the blockage detection.
Description
Technical Field
The invention belongs to the technical field of pipeline detection, and relates to a pipe cleaner blockage detection method based on mold maximum single-scale correlation.
Background
With the rapid increase of economy and the increasing demand of society for energy, the role played by pipeline transportation in energy transportation is more and more important. As the operation time of the pipeline is prolonged, the wax layer on the inner pipe wall is gradually increased, so that the effective flow area of the pipeline is reduced, the flow resistance is increased, and the pipeline conveying capacity is reduced. In order to improve the conveying capacity of the pipeline, the pipeline cleaning operation of the inner wall of the pipeline needs to be carried out regularly, and the pipeline cleaning operation is usually carried out by adopting a pipeline cleaner. However, the operation condition of the pipe cleaner in the pipeline cannot be directly observed, if the pipe cleaner is stuck in the pipeline in the operation process, the normal operation of the pipeline can be seriously influenced, and even accidents such as initial setting and stopping transmission of the pipeline can be caused. In order to solve the technical problem, an effective pipe cleaner blockage detection method is needed to quickly and accurately judge whether the pipeline is blocked or not and provide powerful technical support for pipeline cleaning operation.
At present, the dynamic pressure wave method is widely applied due to the advantages of simple operation steps, good detection effect and the like. However, in practical application, due to the fact that the pipeline transportation distance is long and the interference of various noise signals exists in the whole conveying system, the main signals containing the blockage information are often covered by external noise signals, and therefore the accuracy of the dynamic pressure wave method for blockage detection is lowered. The conventional noise elimination processing can not completely and effectively eliminate noise, so that the noise elimination effect is not ideal, the jamming signal is often submerged in the noise signal, and the jamming detection efficiency and the jamming detection accuracy are reduced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a pipe cleaner blockage detection method based on the mode-maximum single-scale correlation, which can effectively eliminate noise signals in the detection process and improve the blockage detection accuracy and detection efficiency.
In order to achieve the purpose, the invention provides a pipe cleaner blockage detection method based on mold maximum single-scale correlation, which comprises the following steps:
s1, respectively installing dynamic pressure transmitters on the upstream and downstream of the pipeline, and detecting real-time dynamic pressure wave signals on the upstream and downstream of the pipeline through the dynamic pressure transmitters;
s2, synchronously storing the real-time dynamic pressure wave signals of the pipeline by using the PPS interface of the GPS;
s3, decomposing the dynamic pressure wave signal by adopting multi-scale wavelet analysis to separate the blocking signal from the noise signal to obtain signals of each frequency band after wavelet decomposition, and selecting the frequency band containing cleaner blocking signals according to the mode maximum single-scale correlation principle;
s4, performing wavelet decomposition on the normal historical data by using the same-scale wavelet transform, solving the distribution function of each frequency band, and determining the corresponding threshold of each layer according to the confidence level;
and S5, judging whether the pipeline is blocked or not by solving the threshold value of the corresponding scale, and triggering an alarm device to alarm and remind if the pipeline is blocked.
Further, a real-time dynamic pressure signal of the pipe is detected by the dynamic pressure transmitter in S1.
In S2, the PPS interface of the GPS stores the dynamic pressure signal of the pipe in time-sequential timing synchronization.
Further, in S3, the number of layers containing the main jamming signal is selected by using the correlation between the decomposed frequency band signals and the original signal.
Further, in S3, calculating correlation coefficients between the original signal and the signals of the upstream and downstream frequency bands by using formula (1);
wherein, X corresponds to single-scale signals of different levels at the upstream and the downstream, and Y corresponds to original dynamic pressure wave signals at the upstream and the downstream;
further, in S3, the correlation coefficient between the upstream levels and the original signal and the correlation coefficient between the downstream corresponding scale and the original signal are calculated by formula (2);
and obtaining the modulus maximum single-scale correlation coefficient through the sum of the correlation coefficient of each upstream level and the original signal and the correlation coefficient of the downstream corresponding scale and the original signal.
The method carries out multi-scale wavelet decomposition on the pressure signal, separates the blocking signal from the noise signal by utilizing the characteristic that the high-frequency noise signal is separated from the blocking signal and is mainly distributed in different frequency bands, selects the main frequency band containing the cleaner blocking signal as an effective signal for judging the blocking of the pipe cleaner according to the principle of the mode-maximum single-scale correlation, effectively overcomes the interference of the noise signal, and better retains the characteristics of the blocking signal, thereby detecting whether the pipeline is blocked. The method can effectively eliminate noise in the detection process, and improve the accuracy and the efficiency of blockage detection. The pipe cleaner blockage detection method provided by the invention has the advantages of simple detection principle, wide detection range and strong practicability, and can effectively represent blockage information.
Drawings
FIG. 1 is a flow chart in the present invention.
Detailed Description
The invention will be further explained with reference to the drawings.
As shown in fig. 1, a method for detecting a pig jam based on die-maximum single-scale correlation includes the following steps:
s1, respectively installing dynamic pressure transmitters on the upstream and downstream of the pipeline, and respectively detecting real-time dynamic pressure wave signals on the upstream and downstream of the pipeline through the dynamic pressure transmitters;
s2, synchronously storing the real-time dynamic pressure wave signals of the pipeline by using the PPS interface of the GPS, specifically, synchronously storing the dynamic pressure signals of the pipeline by the PPS interface of the GPS according to the timing sequence;
s3, decomposing the dynamic pressure wave signal by adopting multi-scale wavelet analysis, respectively decomposing the upstream and downstream dynamic pressure signals in multi-scale, dividing the dynamic pressure wave signal into different frequency bands to obtain each frequency band signal after wavelet decomposition, separating the noise signal from the blockage signal, and selecting the layer number containing a cleaner blockage signal according to a mode-maximum single-scale correlation principle;
selecting the number of blocking signal layers according to a mode maximum single-scale correlation principle, namely sequentially solving correlation coefficients of signals with different scales after upstream and downstream decomposition and original signals, respectively summing absolute values of the solved correlation coefficients of the upstream and downstream corresponding scales, and taking a frequency band where a mode maximum value is located as an effective signal for judging blocking of the pipe cleaner;
s4, performing wavelet decomposition on the normal historical data by using the same-scale wavelet transform, solving the distribution function of each frequency band, and determining the corresponding threshold of each layer according to the confidence level; and solving the threshold value of the jamming detection signal according to normal historical operating data, performing wavelet decomposition on the normal historical data in the same scale to obtain different frequency bands of the normal dynamic pressure wave signal, and solving the probability distribution function of each layer of signal. Further, the pipeline blockage detection signal threshold corresponding to each layer can be determined according to the confidence level; wherein, the threshold is the value of the probability density distribution function of each frequency band of the normal data at a certain confidence level.
And S5, judging whether the pipeline is blocked or not by solving the threshold value of the corresponding scale, and triggering an alarm device to alarm and remind if the pipeline is blocked.
A real-time dynamic pressure signal of the pipeline is detected by the dynamic pressure transmitter in S1.
In S2, the PPS interface of the GPS synchronously stores the real-time dynamic pressure signals of the pipeline according to the time sequence.
In S3, the level of the layer containing the main jamming signal is selected by using the correlation between the decomposed frequency band signals and the original signal.
In S3, calculating the correlation coefficient between the original signal and each frequency band signal upstream and downstream by formula (1);
wherein, X corresponds to single-scale signals of different levels at the upstream and the downstream, and Y corresponds to original dynamic pressure wave signals at the upstream and the downstream;
in S3, calculating the correlation coefficient between each upstream level and the original signal and the correlation coefficient between the downstream corresponding scale and the original signal by formula (2);
and obtaining the modulus maximum single-scale correlation coefficient through the sum of the correlation coefficient of each upstream level and the original signal and the correlation coefficient of the downstream corresponding scale and the original signal.
The pressure signal is decomposed by multi-scale wavelets, the blockage signal is separated from the noise signal by utilizing the characteristic that the high-frequency noise signal is separated from the blockage signal and mainly distributed in different frequency bands, and then the main frequency band containing the cleaner blockage signal is selected according to the maximum mode single-scale correlation principle to serve as an effective signal for judging blockage of the pipe cleaner, so that the blockage signal characteristics are better reserved while the interference of the noise signal is effectively overcome, and whether the blockage occurs in the pipeline is detected. The method can effectively eliminate noise in the detection process, and improve the accuracy and the efficiency of blockage detection. The pipe cleaner blockage detection method provided by the invention has the advantages of simple detection principle, wide detection range and strong practicability, and can effectively represent blockage information.
Claims (6)
1. A pipe cleaner blocking detection method based on mould maximum single-scale correlation is characterized by comprising the following steps:
s1, respectively installing dynamic pressure transmitters on the upstream and downstream of the pipeline, and detecting real-time dynamic pressure wave signals on the upstream and downstream of the pipeline through the dynamic pressure transmitters;
s2, synchronously storing the real-time dynamic pressure wave signals of the pipeline by using the PPS interface of the GPS;
s3, decomposing the dynamic pressure wave signal by adopting multi-scale wavelet analysis to separate the blocking signal from the noise signal to obtain signals of each frequency band after wavelet decomposition, and selecting the frequency band containing cleaner blocking signals according to the mode maximum single-scale correlation principle;
s4, performing wavelet decomposition on the normal historical data by using the same-scale wavelet transform, solving the distribution function of each frequency band, and determining the corresponding threshold of each layer according to the confidence level;
and S5, judging whether the pipeline is blocked or not by solving the threshold value of the corresponding scale, and triggering an alarm device to alarm and remind if the pipeline is blocked.
2. The pig jam detection method and apparatus based on mode maximum single-scale correlation as claimed in claim 1, characterized in that real-time dynamic pressure signals of the pipeline are detected by a dynamic pressure transmitter in S1.
3. The method and device for detecting the pig blockage according to the mode maximum single-scale correlation as claimed in the claim 1 or 2, characterized in that in S2, the PPS interface of the GPS synchronously stores the dynamic pressure signals of the pipeline according to the time sequence.
4. The method and apparatus for detecting the blockage of the pig based on the mode maximum single-scale correlation as claimed in claim 3, wherein in S3, the number of layers containing the main blockage signal is selected by using the correlation magnitude of the decomposed frequency band signals and the original signals.
5. The method and the device for detecting the blocking of the pig based on the mode maximum single-scale correlation are characterized in that in S3, correlation coefficients of signals of each frequency band at the upstream and the downstream and an original signal are calculated through a formula (1);
wherein, X corresponds to the single-scale signals of different levels at the upstream and the downstream, and Y corresponds to the original dynamic pressure wave signals at the upstream and the downstream.
6. The method and the device for detecting the blocking of the pig based on the mode maximum single-scale correlation are characterized in that in S3, the correlation coefficient between each upstream level and the original signal and the correlation coefficient between the corresponding downstream scale and the original signal are calculated through a formula (2);
and obtaining the modulus maximum single-scale correlation coefficient through the sum of the correlation coefficient of each upstream level and the original signal and the correlation coefficient of the downstream corresponding scale and the original signal.
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2021
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| JP2004132817A (en) * | 2002-10-10 | 2004-04-30 | Yokogawa Electric Corp | Apparatus for detecting clogging of conduit |
| CN107218518A (en) * | 2017-04-17 | 2017-09-29 | 昆明理工大学 | A kind of detection method of detection means for drain line blockage failure |
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