CN112307961A - Method and device for processing hybrid optical fiber intrusion signal - Google Patents
Method and device for processing hybrid optical fiber intrusion signal Download PDFInfo
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Abstract
The invention discloses a method and a device for processing a hybrid fiber intrusion signal, wherein the method comprises the following steps: acquiring a hybrid fiber intrusion signal; establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal; obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace; determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data; and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix. The invention can process the mixed optical fiber invasion signal, improve the vibration source recognition rate, facilitate technicians to take effective measures in time and prevent the occurrence of harmful invasion.
Description
Technical Field
The invention relates to the technical field of signal processing, in particular to a method and a device for processing a hybrid fiber intrusion signal.
Background
With the rapid development of global economy, the demand of society for energy resources, particularly oil and gas resources, is increasing. In the national energy strategy, the construction and development of oil and gas storage and transportation are related to the strategic universe of providing long-term, stable, economic and safe energy guarantee for national economic construction and social development. Nowadays, underground oil and gas transmission pipelines become the main artery for energy transportation, and the problem of pipeline safety protection is increasingly highlighted. Once the pipeline is leaked, explosion is easy to occur, normal transportation of energy is affected, and huge loss is caused to life and property of the country and people. Therefore, the early warning system for the pipeline safety has wide application background.
On the basis of real-time monitoring by using an optical fiber sensing system, the detected vibration signals are classified, and external event sources causing vibration are identified, so that effective measures can be taken conveniently in time, and harmful invasion is prevented. The vibration events around the optical cable are detected through the optical fiber sensing system, various vibration signals around the petroleum pipeline are collected, signal characteristic parameters are extracted, and classification and identification of targets are achieved.
In actual underground infrastructure, pedestrian activity, vehicle motion, tunnel cracks, underground water leakage and the like may exist for a long time at the same time, so that the acquired optical fiber intrusion signals are more complex, the vibration source identification rate obtained by processing the mixed optical fiber intrusion signals by adopting the existing method is lower, technicians are not facilitated to take effective measures in time, and harmful intrusion is prevented.
Therefore, a solution for processing a hybrid fiber intrusion signal that overcomes the above problems is needed.
Disclosure of Invention
The embodiment of the invention provides a processing method of a mixed optical fiber intrusion signal, which is used for processing the mixed optical fiber intrusion signal, improving the vibration source identification rate, facilitating technical personnel to take effective measures in time and preventing harmful intrusion from happening, and comprises the following steps:
acquiring a hybrid fiber intrusion signal;
establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal;
obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data;
and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
The embodiment of the invention provides a processing device of a mixed optical fiber intrusion signal, which is used for processing the mixed optical fiber intrusion signal, improving the vibration source recognition rate, facilitating technicians to take effective measures in time and preventing harmful intrusion, and comprises the following components:
the signal acquisition module is used for acquiring a hybrid optical fiber intrusion signal;
the space establishing module is used for establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal;
the projection module is used for obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
the matrix determining module is used for determining feature space volume data and a covariance matrix corresponding to the hybrid optical fiber intrusion signal according to the projection data;
and the signal processing module is used for processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the processing method of the hybrid optical fiber intrusion signal when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the method for processing a hybrid optical fiber intrusion signal is stored in the computer-readable storage medium.
The embodiment of the invention obtains the mixed optical fiber intrusion signal; establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal; obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace; determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data; and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix. The embodiment of the invention projects the mixed optical fiber intrusion signal to the pure intrusion signal characteristic subspace, determines the characteristic space volume data and the covariance matrix according to the obtained projection data, realizes the end member analysis of the mixed optical fiber intrusion signal in the pure intrusion signal characteristic subspace to obtain the pure intrusion signal, and effectively avoids the influence of interference points in the mixed optical fiber intrusion signal by taking the covariance matrix as a constraint condition, thereby effectively improving the vibration source identification rate, facilitating technical personnel to take effective measures in time and preventing the occurrence of harmful intrusion.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a schematic diagram illustrating a method for processing a hybrid fiber intrusion signal according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a pure intrusion signal feature subspace according to an embodiment of the present invention;
fig. 3 is a block diagram of a processing apparatus for hybrid fiber intrusion signals according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In order to process a hybrid fiber intrusion signal, improve a vibration source identification rate, and facilitate technicians to take effective measures in time to stop harmful intrusion, an embodiment of the present invention provides a method for processing a hybrid fiber intrusion signal, where as shown in fig. 1, the method may include:
102, establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal;
103, obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
104, determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data;
and 105, processing the hybrid fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
As can be seen from fig. 1, the embodiment of the present invention obtains the hybrid fiber intrusion signal; establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal; obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace; determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data; and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix. The embodiment of the invention projects the mixed optical fiber intrusion signal to the pure intrusion signal characteristic subspace, determines the characteristic space volume data and the covariance matrix according to the obtained projection data, realizes the end member analysis of the mixed optical fiber intrusion signal in the pure intrusion signal characteristic subspace to obtain the pure intrusion signal, and effectively avoids the influence of interference points in the mixed optical fiber intrusion signal by taking the covariance matrix as a constraint condition, thereby effectively improving the vibration source identification rate, facilitating technical personnel to take effective measures in time and preventing the occurrence of harmful intrusion.
The inventors have found that the fibre optic sensor can detect and locate intrusions around the fibre optic link. The main principle is that the intrusion behavior can cause weak vibration at the corresponding position of the optical fiber, and the weak vibration can change the refractive index of the corresponding position. Under normal conditions, most fiber signals propagate forward due to the effect of total reflection, but the change in refractive index greatly increases the probability of back-scattered light. The position of the intrusion signal determines the time delay of the intrusion signal and the intrusion vibration can modulate the backscattered light signal. Thus, the detected intrusion signal carries characteristics, such as power spectrum characteristics, related to the intrusion behavior. The characteristics of the fiber-optic hybrid intrusion signal are distributed in a characteristic space formed by the pure intrusion signal, and the characteristic points of the pure intrusion signal are called end members on the characteristic space. And (3) solving the end members by analyzing the special space by using a large number of mixed intrusion signal samples to obtain pure intrusion signals. Therefore, the embodiment of the invention projects the mixed optical fiber intrusion signal to the pure intrusion signal feature subspace, determines the feature space volume data and the covariance matrix according to the obtained projection data, realizes the end member analysis of the mixed optical fiber intrusion signal in the pure intrusion signal feature subspace to obtain the pure intrusion signal, and effectively avoids the influence of interference points in the mixed optical fiber intrusion signal by taking the covariance matrix as a constraint condition, thereby effectively improving the vibration source identification rate, facilitating technical personnel to take effective measures in time and preventing the occurrence of harmful intrusion.
And during specific implementation, obtaining a mixed optical fiber intrusion signal, and establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal.
In an embodiment, establishing a pure intrusion signal feature subspace according to the hybrid optical fiber intrusion signal includes: extracting power spectrum characteristic data according to the mixed optical fiber intrusion signal; and establishing a pure intrusion signal characteristic subspace according to the power spectrum characteristic data.
Fig. 2 is a schematic diagram of the created pure intrusion signal feature subspace, in which the open circles represent the pure intrusion signal feature points, and the solid circles represent the feature points of the hybrid fiber intrusion signal, that is, the power spectrum feature data of the hybrid fiber intrusion signal, and are represented by W ═ W1,w2,…,wk]. With sufficient sample size, the mixed intrusion signal will fill in the feature space and will not appear in the feature spaceAnd (3) outside. By finding the top point of the feature space, the pure intrusion signal feature point can be obtained, which is beneficial to inverting the intrusion signal and determining the type of the intrusion signal.
And in specific implementation, according to the pure intrusion signal feature subspace, obtaining projection data corresponding to the hybrid optical fiber intrusion signal.
In an embodiment, obtaining projection data corresponding to the hybrid fiber intrusion signal according to the pure intrusion signal feature subspace includes: and carrying out complementary orthogonal projection transformation on the feature subspaces of the hybrid optical fiber intrusion signal and the pure intrusion signal to obtain projection data corresponding to the hybrid optical fiber intrusion signal.
In this embodiment, the pure intrusion signal feature subspace may be expressed as: p ═ W (W)TW)-1WTThe hybrid fiber intrusion signal can be expressed as: y ═ Y1,y2,…,yM]And performing complementary orthogonal projection transformation on the hybrid optical fiber intrusion signal and the pure intrusion signal feature subspace according to the following formula to obtain projection data corresponding to the hybrid optical fiber intrusion signal:
Y'＝PY＝[y′1,y′2,…,y′M]＝[y1,P⊥y2,…,P⊥yk-1] (1)
in specific implementation, the feature space volume data and the covariance matrix corresponding to the hybrid fiber intrusion signal are determined according to the projection data.
In this embodiment, after the projection data is obtained, the feature space volume data corresponding to the hybrid fiber intrusion signal is determined according to the following formula:
wherein,
are complementary orthogonal projections.
Then, in order to avoid the influence of the interference point, a sample covariance matrix is introduced as a constraint condition, and a covariance matrix corresponding to the hybrid fiber intrusion signal is determined according to the following formula:
wherein omegaYIs the covariance matrix of Y and,
is omegaYThe lth eigenvalue of (1).
And in specific implementation, processing the hybrid fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
In an embodiment, the processing of the hybrid fiber intrusion signal according to the characteristic space volume data and the covariance matrix includes: establishing a target function according to the characteristic space volume data and the covariance matrix; and processing the mixed optical fiber intrusion signal according to the target function and preset weight parameters.
In this embodiment, the objective function is as follows:
max OBJ(Y,W)＝|ΩY|α·|di|1-α,i＝1,2,…,k-1 (4)
wherein, alpha E [0,1] is a weight parameter for adjusting the interference point shielding capability, and if the alpha E [0,1] is close to 0, the interference point is not shielded. And carrying out optimization solution on the objective function to finally obtain the end member characteristic points.
The processing scheme of the hybrid optical fiber intrusion signal provided by the embodiment of the invention has the advantages of high effectiveness and good robustness to noise and interference points, the outlier is effectively avoided by introducing statistical information of anti-interference point constraint on the feature space projection of the hybrid intrusion signal sample matrix, and finally the objective function is solved to obtain the end member feature points.
Based on the same inventive concept, the embodiment of the present invention further provides a processing apparatus for a hybrid fiber intrusion signal, as described in the following embodiments. Since the principles of these solutions are similar to the method for processing the hybrid fiber intrusion signal, the implementation of the apparatus can be referred to the implementation of the method, and repeated descriptions are omitted.
Fig. 3 is a block diagram of a hybrid fiber intrusion signal processing apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes:
a signal obtaining module 301, configured to obtain a hybrid fiber intrusion signal;
a space establishing module 302, configured to establish a pure intrusion signal feature subspace according to the hybrid optical fiber intrusion signal;
the projection module 303 is configured to obtain projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
a matrix determining module 304, configured to determine, according to the projection data, feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal;
and a signal processing module 305, configured to perform hybrid fiber intrusion signal processing according to the feature space volume data and the covariance matrix.
In one embodiment, the signal processing module 305 is further configured to:
establishing a target function according to the characteristic space volume data and the covariance matrix;
and processing the mixed optical fiber intrusion signal according to the target function and preset weight parameters.
In one embodiment, the space establishing module 302 is further configured to:
extracting power spectrum characteristic data according to the mixed optical fiber intrusion signal;
and establishing a pure intrusion signal characteristic subspace according to the power spectrum characteristic data.
In one embodiment, the projection module 303 is further configured to:
and carrying out complementary orthogonal projection transformation on the feature subspaces of the hybrid optical fiber intrusion signal and the pure intrusion signal to obtain projection data corresponding to the hybrid optical fiber intrusion signal.
In summary, the embodiment of the present invention obtains the hybrid fiber intrusion signal; establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal; obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace; determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data; and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix. The embodiment of the invention projects the mixed optical fiber intrusion signal to the pure intrusion signal characteristic subspace, determines the characteristic space volume data and the covariance matrix according to the obtained projection data, realizes the end member analysis of the mixed optical fiber intrusion signal in the pure intrusion signal characteristic subspace to obtain the pure intrusion signal, and effectively avoids the influence of interference points in the mixed optical fiber intrusion signal by taking the covariance matrix as a constraint condition, thereby effectively improving the vibration source identification rate, facilitating technical personnel to take effective measures in time and preventing the occurrence of harmful intrusion.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for processing a hybrid fiber intrusion signal, comprising:
acquiring a hybrid fiber intrusion signal;
establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal;
obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
determining feature space volume data and a covariance matrix corresponding to the hybrid fiber intrusion signal according to the projection data;
and processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
2. The method of processing a hybrid fiber optic intrusion signal according to claim 1, wherein performing hybrid fiber optic intrusion signal processing based on the eigenspace volume data and the covariance matrix comprises:
establishing a target function according to the characteristic space volume data and the covariance matrix;
and processing the mixed optical fiber intrusion signal according to the target function and preset weight parameters.
3. The method for processing the hybrid fiber intrusion signal according to claim 1, wherein the establishing a pure intrusion signal feature subspace according to the hybrid fiber intrusion signal comprises:
extracting power spectrum characteristic data according to the mixed optical fiber intrusion signal;
and establishing a pure intrusion signal characteristic subspace according to the power spectrum characteristic data.
4. The method for processing the hybrid fiber intrusion signal according to claim 1, wherein obtaining the projection data corresponding to the hybrid fiber intrusion signal according to the pure intrusion signal feature subspace comprises:
and carrying out complementary orthogonal projection transformation on the feature subspaces of the hybrid optical fiber intrusion signal and the pure intrusion signal to obtain projection data corresponding to the hybrid optical fiber intrusion signal.
5. A hybrid fiber intrusion signal processing apparatus, comprising:
the signal acquisition module is used for acquiring a hybrid optical fiber intrusion signal;
the space establishing module is used for establishing a pure intrusion signal characteristic subspace according to the mixed optical fiber intrusion signal;
the projection module is used for obtaining projection data corresponding to the hybrid optical fiber intrusion signal according to the pure intrusion signal feature subspace;
the matrix determining module is used for determining feature space volume data and a covariance matrix corresponding to the hybrid optical fiber intrusion signal according to the projection data;
and the signal processing module is used for processing the mixed optical fiber intrusion signal according to the characteristic space volume data and the covariance matrix.
6. The apparatus for processing a hybrid fiber intrusion signal according to claim 5, wherein the signal processing module is further configured to:
establishing a target function according to the characteristic space volume data and the covariance matrix;
and processing the mixed optical fiber intrusion signal according to the target function and preset weight parameters.
7. The apparatus for processing a hybrid fiber intrusion signal according to claim 5, wherein the space creation module is further configured to:
extracting power spectrum characteristic data according to the mixed optical fiber intrusion signal;
and establishing a pure intrusion signal characteristic subspace according to the power spectrum characteristic data.
8. The apparatus for processing a hybrid fiber intrusion signal according to claim 5, wherein the projection module is further configured to:
and carrying out complementary orthogonal projection transformation on the feature subspaces of the hybrid optical fiber intrusion signal and the pure intrusion signal to obtain projection data corresponding to the hybrid optical fiber intrusion signal.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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