CN115479219A - Intelligent pipeline state monitoring method and device and intelligent pipeline system - Google Patents
Intelligent pipeline state monitoring method and device and intelligent pipeline system Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/005—Protection or supervision of installations of gas pipelines, e.g. alarm
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to the technical field of security of gas pipelines, and particularly discloses an intelligent pipeline state monitoring method, an intelligent pipeline state monitoring device and an intelligent pipeline system, wherein the intelligent pipeline state monitoring method comprises the following steps: acquiring an optical fiber transmission signal of a pipeline body, wherein the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal; processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal; performing vibration behavior analysis according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body; and determining the state of the pipeline body according to the vibration behavior analysis result. The intelligent pipeline state monitoring method provided by the invention can realize effective monitoring on the pipeline state.
Description
Technical Field
The invention relates to the technical field of security of gas pipelines, in particular to an intelligent pipeline state monitoring method, an intelligent pipeline state monitoring device and an intelligent pipeline system.
Background
The traditional security and protection means of the pipeline generally mainly take people's air defense, have low efficiency and high cost, basically adopt the modes of pre-burying optical fibers and additionally arranging even if the traditional security and protection means of the pipeline is fused with various sensing systems, the optical fibers and the pipeline have physical intervals in such a mode and are not attached in the true sense, the detected characteristics are that the state of the pipeline cannot be truly shown, and the false alarm of the sensing systems can be caused by the influence exerted on the pipeline by a transmission medium under different conditions.
Therefore, how to effectively monitor the state of the pipeline to improve the security efficiency becomes a technical problem to be solved urgently by the technical personnel in the field.
Disclosure of Invention
The invention provides an intelligent pipeline state monitoring method, an intelligent pipeline state monitoring device and an intelligent pipeline system, which solve the problem that the pipeline state cannot be effectively monitored in the related art.
As a first aspect of the present invention, there is provided an intelligent pipe state monitoring method, which is applied to an intelligent pipe system including a pipe body and an optical fiber disposed in the pipe body, the intelligent pipe state monitoring method including:
acquiring an optical fiber transmission signal of a pipeline body, wherein the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal;
processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
performing vibration behavior analysis according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
and determining the state of the pipeline body according to the vibration behavior analysis result.
Further, processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal includes:
carrying out signal demodulation on the optical fiber transmission signal to obtain a demodulation signal;
determining an environmental noise signal corresponding to the current optical fiber transmission signal according to an environmental noise signal model library;
after the demodulation signal is subjected to environmental noise signal removal processing, an optical signal is obtained;
and performing vibration characteristic extraction on the optical signal to obtain a vibration characteristic signal corresponding to the optical signal.
Further, determining the environmental noise signal corresponding to the current optical fiber transmission signal according to an environmental noise signal model library, including:
respectively acquiring optical fiber transmission signals of the pipeline body under different environmental noise signals, wherein the different environmental noise signals can be determined according to an environmental noise acquisition device;
training optical fiber transmission signals under different environmental noise signals as a training data set to obtain an optical fiber transmission signal feature library, wherein the optical fiber transmission signal feature library comprises a mapping relation between the optical fiber transmission signals and the environmental noise signals;
and inputting the current optical fiber transmission signal into the environmental noise signal model library, and determining an environmental noise signal corresponding to the current optical fiber transmission signal.
Further, the obtaining of the vibration characteristic signal corresponding to the optical signal by performing vibration characteristic extraction on the optical signal includes:
performing characteristic decomposition on the optical signal to obtain a corresponding vibration characteristic signal;
and decomposing the vibration characteristic signal to obtain an MFCC signal and a time domain signal.
Further, vibration behavior analysis is performed according to the vibration characteristic signal, and a vibration behavior analysis result of the pipeline body is obtained, including:
computing MFCC energy from the MFCC signals and time domain energy from the time domain signals;
and respectively comparing the MFCC energy and the time domain energy with respective corresponding energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result.
Further, comparing the MFCC energy and the time domain energy with respective corresponding energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result, including:
comparing the MFCC energy to a preset MFCC energy threshold value and the time domain energy to a preset time domain energy threshold value;
if the MFCC energy is larger than the preset MFCC energy threshold value and/or the time domain energy is larger than the preset time domain energy threshold value, determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier;
if the MFCC energy is not greater than the preset MFCC energy threshold value, comparing the MFCC energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of a decision tree classifier when the MFCC energy is greater than the preset comprehensive threshold;
if the time domain energy is not greater than the preset time domain energy threshold value, comparing the time domain energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier when the time domain energy is greater than the preset comprehensive threshold;
the decision tree classifier comprises a mapping relation between time domain energy and vibration behavior and a mapping relation between MFCC energy and vibration behavior.
Further, the vibratory behavior includes calming behavior, pipe explosion behavior, pedestrian behavior, and digging behavior.
Further, the ambient noise signal includes temperature, flow rate, and pressure.
As another aspect of the present invention, there is provided an intelligent pipe state monitoring apparatus, which is applied to an intelligent pipe system including a pipe body and an optical fiber disposed in the pipe body, the intelligent pipe state monitoring apparatus including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an optical fiber transmission signal of a pipeline body, and the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal;
the processing module is used for processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
the analysis module is used for analyzing the vibration behavior according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
and the determining module is used for determining the state of the pipeline body according to the vibration behavior analysis result.
As another aspect of the present invention, there is provided an intelligent pipe system, including: the intelligent pipeline state monitoring device comprises a pipeline body, an optical fiber arranged in the pipeline body, an environmental noise acquisition device arranged on the pipeline body and the intelligent pipeline state monitoring device, wherein the optical fiber and the environmental noise acquisition device are electrically connected with the intelligent pipeline state monitoring device;
the pipeline body comprises a medium transmission layer, an enhancement layer, a coating layer, an optical cable adhesion layer and an optical cable protection layer which are sequentially arranged from inside to outside.
According to the intelligent pipeline state monitoring method provided by the invention, the vibration characteristic signal is obtained by acquiring the optical fiber transmission signal and processing the optical fiber transmission signal, so that the intelligent pipeline state is effectively monitored. Therefore, the state monitoring method of the intelligent pipeline provided by the invention realizes the real fusion of the optical fiber and the pipeline, demodulates the information of vibration intensity, frequency and the like along the pipeline according to the change of the optical signal, and simultaneously improves the accuracy of vibration signal behavior analysis by combining the comprehensive application and analysis of pressure, temperature and flow sensors, realizes the real-time monitoring of the pipeline application, carries out key monitoring on the pipe explosion phenomenon under high pressure, sends out early warning in advance, accurately positions the pipe explosion position and wins precious time for rush repair of the pipeline.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart of an intelligent pipeline state monitoring method provided by the present invention.
Fig. 2 is a schematic structural diagram of a pipeline body provided by the invention.
Fig. 3 is a schematic diagram illustrating the effect of the pressure on the vibration monitoring of the pipeline according to the present invention.
Fig. 4 is a system signal corresponding diagram under the flow rate of the fifth gear provided by the invention.
FIG. 5 is a schematic diagram of MFCC energy comparison between tapping and resting conditions under the same circumstances as provided by the present invention.
Fig. 6 is a flow chart for determining the vibration behavior analysis result of the pipeline body according to the present invention.
Fig. 7 is a structural block diagram of the intelligent pipeline state monitoring device provided by the invention.
Fig. 8 is a block diagram of an intelligent pipeline system provided in the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make those skilled in the art better understand the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged as appropriate in order to facilitate the embodiments of the invention described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, an intelligent pipeline state monitoring method is provided, which is applied to an intelligent pipeline system, where the intelligent pipeline system includes a pipeline body and an optical fiber disposed in the pipeline body, fig. 1 is a flowchart of the intelligent pipeline state monitoring method according to an embodiment of the present invention, and as shown in fig. 1, the intelligent pipeline state monitoring method includes:
s100, acquiring an optical fiber transmission signal of a pipeline body, wherein the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal;
in the embodiment of the present invention, the optical fiber transmission signal in the pipeline body may be specifically transmitted by an optical cable, and since the pipeline body may be affected by environmental noise, the optical fiber transmission signal transmitted by the optical cable located in the pipeline body specifically includes an optical signal and an environmental noise signal superimposed on the optical signal.
It should be understood that, in the embodiment of the present invention, as shown in fig. 2, specifically, the structural schematic diagram of the pipe body 10 may specifically include a medium transmission layer 11, a reinforcing layer 12, a coating layer 13, an optical cable 14, and an optical cable protection layer 15, which are sequentially arranged from inside to outside.
It should be understood that the optical cable 14 specifically includes optical fibers, i.e., the optical cable is formed by a number of optical fibers in a manner to form a cable core.
It should be noted that the duct body 10 shown in fig. 2 is only used as an exemplary structure, and it should be understood that the duct body 10 may also include other types of structures, for example, a cable adhesion layer is disposed on the outer layer of the cable 14, and other types of structures may be disposed according to needs, and are not limited herein.
Wherein, medium transport layer 11 specifically can adopt polyethylene pe, enhancement layer 12 specifically can be the steel wire, the steel band, polyester filament etc. can resist pressure, coating 13 specifically can prevent liquid corrosion for polyethylene protection architecture, optic fibre increases the stainless steel protection on attaching to coating 13, the optical cable adhesion layer is used for fixed optic fibre, it possesses thermal-insulated effect simultaneously to strengthen the vibration conduction, the influence that isolated temperature variation detected the optic fibre vibration, outmost be optical cable protective layer 15, possess the effect that the optical cable concealed covers, prevent artificial intentional pertinence damage or shielding.
In addition, it should be noted that, the optical cable part considers the influence of tension and pressure when the pipeline equipment is used, the armored optical cable is used to add the stainless steel layer for protection, so as to solve the gravity compression influence of the coiled pipeline, the optical cable 14 is selected to be attached to the position of 10 point 40 or 1 point 20 of the pipeline, here, it should be noted that, taking the section of the pipeline shown in fig. 2 as a clock surface, the optical cable 14 is arranged at the position of 10 point 40 or 1 point 20, so as to consider the problem of pressure bearing points, and the arrangement of the optical cable at the two points can effectively solve the gravity compression influence of the coiled pipeline.
It should be understood that the ambient noise signal may specifically include temperature, flow rate and pressure. In order to eliminate the influence of the environmental noise signal, a flow sensor, a pressure sensor and a temperature sensor may be disposed on the pipe body to detect the corresponding signals.
Because the pipeline is buried underground, the pipeline has a certain isolation effect on external noise, the structural design of the pipeline body in the embodiment of the invention shields the influence of temperature, and vibration signals under different temperatures can be seen in test data of actual operation without obvious change. A large amount of pressure rise and drop experiment data verification can be carried out to draw a conclusion that the vibration influence of the pressure on the pipeline detection is mainly concentrated on the vibration signal jump (such as pressure change in figure 3) caused by the abrupt change moment of the pressure difference, and the influence of the liquid flow directly acts on the pipeline and the optical fiber, so that a client can realize the purpose of shielding external noise through the data acquisition of different flow rates and recording the noise signal level of the pipeline body under different conditions and calibrating the vibration signal value.
In addition, the influence factors of the changes of the pipeline pressure and the flow on the vibration change characteristic library are recorded into a system database, and fig. 4 is a system signal corresponding diagram under a five-gear flow experiment. FIG. 5 is a graphical representation of MFCC energy versus knock versus calm conditions for the same environment.
S200, processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
when an optical fiber transmission signal is obtained, firstly, the optical fiber transmission signal is demodulated, and since the optical fiber transmission signal received by the optical fiber transmission signal itself includes an environmental noise signal, the influence of the environmental noise signal needs to be eliminated in a calibration mode, and then, a vibration characteristic signal corresponding to the optical signal is obtained after vibration characteristic extraction processing.
In some embodiments, step S200 may specifically include:
s210, demodulating the optical fiber transmission signal to obtain a demodulated signal;
after obtaining the optical fiber transmission signal, the optical fiber transmission signal is demodulated, that is, a signal carried by carrier light is converted into a light intensity change, and then the light intensity change is detected by a photodetector.
S220, determining an environmental noise signal corresponding to the current optical fiber transmission signal according to an environmental noise signal model base;
in some embodiments, it is required to first construct an optical fiber transmission signal feature library, and then determine an environmental noise signal corresponding to the optical fiber transmission signal according to the environmental noise signal model library.
Specifically, the method comprises the following steps:
s221, respectively acquiring optical fiber transmission signals of the pipeline body under different environmental noise signals, wherein the different environmental noise signals can be determined according to an environmental noise acquisition device;
in the embodiment of the present invention, the ambient noise collecting device may specifically include a temperature sensor, a pressure sensor, and a flow sensor.
S222, training optical fiber transmission signals under different environmental noise signals as a training data set to obtain an optical fiber transmission signal feature library, wherein the optical fiber transmission signal feature library comprises a mapping relation between the optical fiber transmission signals and the environmental noise signals;
s223, inputting the current optical fiber transmission signal into the environmental noise signal model library, and determining an environmental noise signal corresponding to the current optical fiber transmission signal.
In the embodiment of the invention, an environmental noise signal model base collects calibration data according to the changes of flow, pressure and temperature to generate a training set, the training set is trained into different model bases through a pattern recognition algorithm, the calibration data comprises environmental noise information, in practice, a matching addition algorithm of basic characteristic factors is carried out based on a training result, and the time domain energy threshold is judged to be changed under different conditions.
S230, after the demodulation signal is subjected to environmental noise signal removal processing, an optical signal is obtained;
it should be understood that, after the above-mentioned demodulated signal is obtained and contains the environmental noise signal, and the environmental noise signal in the demodulated signal is determined by combining the environmental noise signal model library, the result that the demodulated signal does not contain the environmental noise signal can be determined, that is, the optical signal can be determined.
S240, extracting vibration characteristics of the optical signals to obtain vibration characteristic signals corresponding to the optical signals.
Specifically, the method comprises the following steps:
performing characteristic decomposition on the optical signal to obtain a corresponding vibration characteristic signal;
and decomposing the vibration characteristic signal to obtain an MFCC (Mel Frequency Cepstrum Coefficient) signal and a time domain signal.
And performing characteristic decomposition on the optical signal to obtain a vibration characteristic signal therein, and further performing decomposition to obtain an MFCC signal and a time domain signal.
S300, carrying out vibration behavior analysis according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
specifically, the method comprises the following steps:
computing MFCC energy from the MFCC signals and time domain energy from the time domain signals;
and respectively comparing the MFCC energy and the time domain energy with respective corresponding energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result.
It should be understood that the vibration monitored in the pipeline, especially the explosion pipe behavior of the most concern, is a transient behavior, belongs to a short-time characteristic, and the performance characteristics thereof are very suitable for the MFCC characteristic analysis mode sensitive to the short-time sudden change characteristic, while the behavior of third party mining and the like generally has the continuity in time, and the embodiment of the invention adopts the detection mode of combining the MFCC energy and the time domain energy characteristic to analyze the vibration behavior for considering the detection performance of the two behaviors and according to the different pipeline vibration signals and voice signals.
Specifically, comparing the MFCC energy and the time domain energy with respective corresponding energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result, as shown in fig. 6, the method includes:
comparing the MFCC energy with a preset MFCC energy threshold value, and comparing the time domain energy with a preset time domain energy threshold value;
if the MFCC energy is larger than the preset MFCC energy threshold value and/or the time domain energy is larger than the preset time domain energy threshold value, determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier;
if the MFCC energy is not greater than the preset MFCC energy threshold value, comparing the MFCC energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of a decision tree classifier when the MFCC energy is greater than the preset comprehensive threshold;
if the time domain energy is not greater than the preset time domain energy threshold value, comparing the time domain energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier when the time domain energy is greater than the preset comprehensive threshold;
the decision tree classifier comprises a mapping relation between time domain energy and vibration behavior and a mapping relation between MFCC energy and vibration behavior.
It should be noted that the vibration behavior includes a calming behavior, a pipe explosion behavior, a pedestrian behavior, and a digging behavior.
According to the conduction characteristic of the built-in optical fiber of the pipeline, a changed Mel frequency cepstrum coefficient (MFCC energy value) and a time domain energy value are used as basic signal characteristic values, threshold judgment is used as pre-alarm judgment logic, when any value exceeds a set threshold, a behavior analysis result is given through a decision tree classifier, the judgment process is as follows, the comprehensive threshold is used for further preventing report leakage, the threshold judgment is not met by a single threshold at special time, but the pre-alarm is still given under the condition that the two values simultaneously meet the set value in the comprehensive threshold, the decision tree classifier is used for performing behavior analysis, the basic MFCC energy value is 20, the time domain energy threshold value is divided into five grades according to the system detection flow rate, and is respectively (0-0.5), (0.5-1), (1.5-2), (2-2.5), (more than 3) in units of meter/second, the time domain energy threshold value is respectively 80, 100, 120, 140 and 160, the MFCC energy value in the comprehensive is 15, and the time domain energy value is 70, 90, 100, 120 and 140.
And if the absolute value of the system under the abrupt pressure change is more than 3MPA according to the change of the pressure gauge, the frame signal does not participate in all vibration judgment so as to reduce the misjudgment brought by the pressure change.
In the embodiment of the present invention, the calculation process of MFCC energy is as follows:
the method comprises the following steps of calculating the MFCC energy characteristics of a group of collected signals in a signal format of a [ X, Y ], wherein Y represents the geographical position of the signals, splitting the signals into Y frames of b [ X ] signals, and performing fast FFT operation on the b [ X ] signals to obtain a frame of detection signals of the signals, performing Discrete Fourier Transform (DFT), wherein the calculation formula is as follows:
where k represents the index number, i.e., from 0 to the last in the signal array.
After obtaining the Fourier variation value, performing a frequency spectrum modulus square operation to obtain a signal power spectrum, performing filtering operation on the obtained signal power spectrum through a Mel-scale triangular filter bank, and defining a filter bank with 25 filters, wherein the frequency response of the triangular filter is defined as:
wherein, the first and the second end of the pipe are connected with each other,
m denotes the sequence numbers from 0 to 25, k denotes the index number, and f (m) denotes the frequency bin of the triangular filter.
In summary, the results from the filter bank calculations are logarithmed and summed to form the MFCC energy value for that channel.
In the embodiment of the invention, the calculation of the time domain energy is also to divide a [ x, y ] into y a [ x ] signals, calculate the slope of the connecting line between each point and the next point of the signal between each signal, calculate the absolute value of each slope to obtain x-1 values, sum all the values to obtain N, and accumulate the previous M values N of the continuous characteristic of the time domain to obtain the time domain energy (M can be set, and M is generally set to be 4 according to the verification of the test experiments such as actual pipe explosion, excavation and the like).
As the decision tree classifier is trained by using a scinit-leann tool, sample data comprises four kinds of data of blasting, pedestrian, mining and calming under different environments, the number of the samples is 15600, the number of positive samples is 8000, the number of negative samples is 7600, the learning depth is set as 6, data labeling is carried out according to the actual behavior of the samples, 0 represents calmness, 1 represents blasting, 2 represents pedestrian and 3 represents mining, model training and data verification are carried out, a classification model base is obtained, and the accuracy can reach 96.7%.
S400, determining the state of the pipeline body according to the vibration behavior analysis result.
Since the vibration behavior analysis result may specifically include calmness, pipe explosion, pedestrian, and excavation, the current state of the pipeline body may be determined according to the vibration behavior analysis result, that is, whether the current state of the pipeline body is safe or not may be determined.
In summary, the intelligent pipeline state monitoring method provided by the invention can be used for effectively monitoring the state of the intelligent pipeline by acquiring the optical fiber transmission signal and processing the optical fiber transmission signal to obtain the vibration characteristic signal. Therefore, the state monitoring method of the intelligent pipeline provided by the invention realizes the real fusion of the optical fiber and the pipeline, demodulates the information of vibration intensity, frequency and the like along the pipeline according to the change of the optical signal, and simultaneously improves the accuracy of vibration signal behavior analysis by combining the comprehensive application and analysis of pressure, temperature and flow sensors, realizes the real-time monitoring of the pipeline application, carries out key monitoring on the pipe explosion phenomenon under high pressure, sends out early warning in advance, accurately positions the pipe explosion position and wins precious time for rush repair of the pipeline.
As another embodiment of the present invention, there is provided an intelligent pipeline state monitoring device, wherein the intelligent pipeline state monitoring device is applied to an intelligent pipeline system, the intelligent pipeline system includes a pipeline body and an optical fiber disposed in the pipeline body, as shown in fig. 7, the intelligent pipeline state monitoring device 100 includes:
the acquiring module 110 is configured to acquire an optical fiber transmission signal of a pipeline body, where the optical fiber transmission signal includes an optical signal and an environmental noise signal superimposed on the optical signal;
the processing module 120 is configured to process the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
the analysis module 130 is configured to perform vibration behavior analysis according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
a determining module 140, configured to determine a state of the pipeline body according to the vibration behavior analysis result.
According to the intelligent pipeline state monitoring device provided by the invention, the vibration characteristic signal is obtained by acquiring the optical fiber transmission signal and processing the optical fiber transmission signal, so that the intelligent pipeline state is effectively monitored. Therefore, the intelligent pipeline state monitoring device provided by the invention realizes real fusion of the optical fiber and the pipeline, demodulates information such as vibration intensity, frequency and the like along the pipeline according to the change of the optical signal, and simultaneously improves the accuracy of vibration signal behavior analysis by combining the comprehensive application and analysis of pressure, temperature and flow sensors, realizes real-time monitoring of pipeline application, performs key monitoring on the phenomenon of pipe explosion under high pressure, sends out early warning in advance, accurately positions the position of the pipe explosion, and wins precious time for rush repair of the pipeline.
For the specific working process of the intelligent pipeline state monitoring device provided by the present invention, reference may be made to the foregoing description of the intelligent pipeline state monitoring method, and details are not described here.
As another embodiment of the present invention, there is provided an intelligent pipe system 1, wherein as shown in fig. 8, the intelligent pipe system includes: the pipeline monitoring device comprises a pipeline body 10, an optical fiber arranged in the pipeline body 10, an environmental noise collecting device 20 arranged on the pipeline body 10 and the intelligent pipeline state monitoring device 100, wherein the optical fiber and the environmental noise collecting device 20 are both electrically connected with the intelligent pipeline state monitoring device 100;
the pipeline body 10 comprises a medium transmission layer, an enhancement layer, a coating layer, an optical cable and an optical cable protection layer which are sequentially arranged from inside to outside.
It should be understood that the environmental noise collection device 20 is specifically disposed on the outer side of the optical cable protection layer of the pipeline body 10, and the specific location of the arrangement is not limited in the embodiment of the present invention and can be set as needed. In addition, the environmental noise collection device 20 may include a temperature sensor, a pressure sensor, and a flow sensor, and may also include other types of sensors as needed.
The specific structure of the pipeline body 10 can be as shown in fig. 2, and the description of the specific structure can refer to the description of the pipeline body structure in the foregoing intelligent pipeline state monitoring method, which is not described herein again.
The intelligent pipeline system provided by the invention realizes the real fusion of the optical fiber and the pipeline, demodulates the information of vibration intensity, frequency and the like along the pipeline according to the change of the optical signal, simultaneously improves the accuracy of vibration signal behavior analysis by combining the comprehensive application and analysis of pressure, temperature and flow sensors, realizes the real-time monitoring of the pipeline application, performs key monitoring on the pipe explosion phenomenon under high pressure, sends out early warning in advance, accurately positions the pipe explosion position and wins precious time for rush repair of the pipeline.
The specific working principle of the intelligent pipeline system provided by the present invention can refer to the structural description of the pipeline body in the foregoing intelligent pipeline state monitoring method, and is not described here any more.
It will be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present invention, and the present invention is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. An intelligent pipeline state monitoring method is applied to an intelligent pipeline system, the intelligent pipeline system comprises a pipeline body and an optical fiber arranged in the pipeline body, and the intelligent pipeline state monitoring method comprises the following steps:
acquiring an optical fiber transmission signal of a pipeline body, wherein the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal;
processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
performing vibration behavior analysis according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
and determining the state of the pipeline body according to the vibration behavior analysis result.
2. The intelligent pipeline state monitoring method according to claim 1, wherein processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal comprises:
performing signal demodulation on the optical fiber transmission signal to obtain a demodulation signal;
determining an environmental noise signal corresponding to the current optical fiber transmission signal according to an environmental noise signal model library;
after the demodulation signal is subjected to environmental noise signal removal processing, an optical signal is obtained;
and extracting vibration characteristics of the optical signal to obtain a vibration characteristic signal corresponding to the optical signal.
3. The intelligent pipeline state monitoring method according to claim 2, wherein determining the environmental noise signal corresponding to the current optical fiber transmission signal according to an environmental noise signal model library comprises:
respectively acquiring optical fiber transmission signals of the pipeline body under different environmental noise signals, wherein the different environmental noise signals can be determined according to an environmental noise acquisition device;
training optical fiber transmission signals under different environmental noise signals as a training data set to obtain an optical fiber transmission signal feature library, wherein the optical fiber transmission signal feature library comprises a mapping relation between the optical fiber transmission signals and the environmental noise signals;
and inputting the current optical fiber transmission signal into the environmental noise signal model library, and determining an environmental noise signal corresponding to the current optical fiber transmission signal.
4. The intelligent pipeline state monitoring method according to claim 2, wherein the obtaining of the vibration characteristic signal corresponding to the optical signal by performing vibration characteristic extraction on the optical signal comprises:
performing characteristic decomposition on the optical signal to obtain a corresponding vibration characteristic signal;
and decomposing the vibration characteristic signal to obtain an MFCC signal and a time domain signal.
5. The intelligent pipeline state monitoring method according to claim 4, wherein the vibration behavior analysis is performed according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body, and the method comprises the following steps:
computing MFCC energy from the MFCC signals and time domain energy from the time domain signals;
and respectively comparing the MFCC energy and the time domain energy with respective corresponding energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result.
6. The intelligent pipeline condition monitoring method of claim 5, wherein comparing the MFCC energy and the time domain energy with respective energy threshold values, and determining a vibration behavior analysis result of the pipeline body according to the comparison result comprises:
comparing the MFCC energy with a preset MFCC energy threshold value, and comparing the time domain energy with a preset time domain energy threshold value;
if the MFCC energy is larger than the preset MFCC energy threshold value and/or the time domain energy is larger than the preset time domain energy threshold value, determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier;
if the MFCC energy is not greater than the preset MFCC energy threshold value, comparing the MFCC energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of a decision tree classifier when the MFCC energy is greater than the preset comprehensive threshold;
if the time domain energy is not greater than the preset time domain energy threshold value, comparing the time domain energy with a preset comprehensive threshold, and determining a vibration behavior analysis result of the pipeline body according to an output result of the decision tree classifier when the time domain energy is greater than the preset comprehensive threshold;
the decision tree classifier comprises a mapping relation between time domain energy and vibration behavior and a mapping relation between MFCC energy and vibration behavior.
7. The intelligent pipeline condition monitoring method of claim 6, wherein the vibration behavior comprises calming behavior, pipe explosion behavior, pedestrian behavior, and digging behavior.
8. The intelligent pipeline condition monitoring method of claim 2, wherein the ambient noise signals include temperature, flow rate, and pressure.
9. The utility model provides an intelligence pipeline state monitoring devices, its characterized in that uses in intelligent pipe-line system, intelligent pipe-line system includes the pipeline body and sets up this internal optic fibre of pipeline, intelligence pipeline state monitoring devices includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an optical fiber transmission signal of a pipeline body, and the optical fiber transmission signal comprises an optical signal and an environmental noise signal superposed on the optical signal;
the processing module is used for processing the optical fiber transmission signal to obtain a vibration characteristic signal corresponding to the optical signal;
the analysis module is used for analyzing the vibration behavior according to the vibration characteristic signal to obtain a vibration behavior analysis result of the pipeline body;
and the determining module is used for determining the state of the pipeline body according to the vibration behavior analysis result.
10. An intelligent pipe system, comprising: the intelligent pipeline state monitoring device comprises a pipeline body, an optical fiber arranged in the pipeline body, an environmental noise acquisition device arranged on the pipeline body and the intelligent pipeline state monitoring device according to claim 9, wherein the optical fiber and the environmental noise acquisition device are electrically connected with the intelligent pipeline state monitoring device;
the pipeline body comprises a medium transmission layer, an enhancement layer, a coating layer, an optical cable and an optical cable protection layer which are sequentially arranged from inside to outside.
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