Method and device for processing optical fiber sensing signal and storage medium
By determining the target fiber model and processing the interfering signal, the problems of low stability and poor quality of the fiber sensing signal are solved, and the effect of improving signal quality and stability is achieved.
Patent Information
- Application Number
- CN202411867962.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-05-16
AI Technical Summary
In the prior art, the optical fiber sensing signal has low stability and poor quality, which is affected by various interferences, resulting in a decrease in measurement accuracy and stability.
By obtaining the fiber optical fiber sensing signals, structural data and material physical parameters of the fiber, determining the target fiber model, performing simulation to obtain the stress distribution data, identifying and processing interference signals, and obtaining the target fiber sensing signal.
The signal quality and signal strength of the fiber sensor signal are improved, making the fiber sensor signal more stable and reducing signal fluctuations.
Smart Images
Figure CN120011710A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of optical fiber technology, and in particular to a method, device and storage medium for processing optical fiber sensing signals. Background Art
[0002] Fiber optic sensing technology plays an important role in modern industry and scientific research, and is widely used in the measurement of physical quantities such as temperature, stress, and vibration. Fiber optic sensors are sensors that use the characteristic that the optical phase and light intensity of the light transmitted in the optical fiber change regularly when the external environmental factors change. They are valued for their precise measurement, radiation resistance, and electromagnetic interference resistance. Fiber optic sensors are usually used to measure optical signals in optical fibers, that is, fiber optic sensing signals. However, fiber optic sensing signals are often subject to various interferences in practical applications, which affect the sensing measurement accuracy and stability. These interferences also cause the signal quality of fiber optic sensing signals to decrease, affecting the stability of fiber optic sensing signals. Summary of the invention
[0003] The purpose of the embodiments of the present application is to provide a method, device and storage medium for processing optical fiber sensor signals, so as to solve the problems of low stability and poor quality of optical fiber sensor signals in the prior art.
[0004] In order to achieve the above-mentioned object, the first aspect of the present application provides a method for processing an optical fiber sensing signal, the method comprising:
[0005] Obtaining a fiber sensing signal, fiber structure data, and material physical parameters of any optical fiber, wherein the fiber structure data includes at least one of the length and diameter of the optical fiber, and the material physical parameters include at least one of the elastic modulus, density, and refractive index of the optical fiber;
[0006] Determine the target optical fiber model according to the optical fiber structure data and material physical parameters;
[0007] Use the target optical fiber model to perform simulation to obtain the stress distribution data of the optical fiber;
[0008] determining interference signals in optical fiber sensing signals based on stress distribution data;
[0009] Process the interference signal to obtain the target optical fiber sensing signal.
[0010] In an embodiment of the present application, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: denoising the optical fiber structure data and material physical parameters respectively, and deleting invalid data in the denoised optical fiber structure data and material physical parameters to obtain processed optical fiber structure data and material physical parameters; normalizing the processed optical fiber structure data and material physical parameters; using MatDEM to process the normalized optical fiber structure data to obtain an initial optical fiber model; and assigning values to the initial optical fiber model using the normalized material physical parameters to obtain a target optical fiber model.
[0011] In an embodiment of the present application, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: acquiring environmental data of the environment in which the optical fiber is located; denoising the environmental data and deleting invalid data in the denoised environmental data to obtain processed environmental data; normalizing the processed environmental data; and using the normalized environmental data to adjust the assigned initial optical fiber model to obtain a target optical fiber model.
[0012] In an embodiment of the present application, determining the interference signal in the optical fiber sensing signal according to the stress distribution data includes: extracting interference features from the stress distribution data; and identifying the interference signal based on the interference features.
[0013] In an embodiment of the present application, extracting interference features from stress distribution data includes: determining the stress at the interface of the optical fiber and the stress in the bending area based on the optical fiber structure data and the stress distribution data; determining the interference position based on the stress at the interface and the stress in the bending area; and extracting interference features from the interference position.
[0014] In the embodiment of the present application, processing the interference signal to obtain the target optical fiber sensing signal includes: using a wavelet transform algorithm to filter the interference signal to obtain the target optical fiber sensing signal.
[0015] In an embodiment of the present application, processing the interference signal to obtain the target optical fiber sensing signal includes: adjusting the frequency and phase of the interference signal to compensate for the interference signal; and determining the compensated interference signal and other signals in the optical fiber sensing signal except the interference signal as the target optical fiber sensing signal.
[0016] In an embodiment of the present application, the method also includes: after determining the interference signal in the optical fiber sensing signal according to the stress distribution data, generating a stress distribution map according to the stress distribution data and the interference signal; determining a first area in the stress distribution map where the stress is greater than a preset stress and a second area where the intensity of the interference signal is greater than a preset intensity; rendering the first area into a first color and rendering the second area into a second color to obtain a rendered stress distribution map; and visualizing the rendered stress distribution map.
[0017] A second aspect of the present application provides a device for processing an optical fiber sensing signal, comprising:
[0018] a memory configured to store instructions;
[0019] The processor is configured to call instructions from the memory and implement the above method for processing optical fiber sensing signals when executing the instructions.
[0020] A third aspect of the present application provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned method for processing optical fiber sensing signals.
[0021] Through the above technical scheme, the optical fiber sensing signal, optical fiber structural data and material physical parameters of any optical fiber are obtained, the optical fiber structural data includes at least one of the length and diameter of the optical fiber, and the material physical parameters include at least one of the elastic modulus, density and refractive index of the optical fiber; the target optical fiber model is determined according to the optical fiber structural data and the material physical parameters; the target optical fiber model is used to perform simulation to obtain the stress distribution data of the optical fiber; the interference signal in the optical fiber sensing signal is determined according to the stress distribution data; the interference signal is processed to obtain the target optical fiber sensing signal, the signal quality and signal strength of the optical fiber sensing signal are improved, and the optical fiber sensing signal is made more stable and less prone to signal fluctuations.
[0022] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:
[0024] Figure 1 A schematic diagram of a process for processing an optical fiber sensing signal according to an embodiment of the present application is shown;
[0025] Figure 2 The internal structure diagram of a computer device according to an embodiment of the present application is schematically shown. DETAILED DESCRIPTION
[0026] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0027] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0028] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.
[0029] Figure 1 The following schematically shows a flow chart of a method for processing optical fiber sensing signals according to an embodiment of the present application. Figure 1 As shown, an embodiment of the present application provides a method for processing optical fiber sensing signals, which may include the following steps.
[0030] Step 101: Obtain the optical fiber sensing signal, optical fiber structural data and material physical parameters of any optical fiber, the optical fiber structural data including at least one of the length and diameter of the optical fiber, and the material physical parameters including at least one of the elastic modulus, density and refractive index of the optical fiber.
[0031] Step 102: Determine a target optical fiber model according to the optical fiber structure data and material physical parameters.
[0032] Step 103: Use the target optical fiber model to perform simulation to obtain stress distribution data of the optical fiber.
[0033] Step 104: Determine the interference signal in the optical fiber sensing signal according to the stress distribution data.
[0034] Step 105: Process the interference signal to obtain the target optical fiber sensing signal.
[0035] Optical fiber (optical fiber) is a fiber made of glass or plastic that can be used as a light transmission tool. The optical fiber sensing signal is based on the optical fiber sensor measuring the optical signal in the optical fiber. The processor can obtain the optical fiber sensing signal, optical fiber structure data and material physical parameters of any optical fiber, wherein the optical fiber structure data includes at least one of the length and diameter of the optical fiber, and the material physical parameters include at least one of the elastic modulus, density and refractive index of the optical fiber. Specifically, the processor can obtain the optical fiber sensing signal measured by the optical fiber sensor installed on the optical fiber. After obtaining the optical fiber structure data and material physical parameters, the processor can determine the target optical fiber model according to the optical fiber structure data and material physical parameters. After determining the target optical fiber model, the processor can use the target optical fiber model for simulation to obtain the stress distribution data of the optical fiber. After obtaining the stress distribution data, the processor can determine the interference signal in the optical fiber sensing signal according to the stress distribution data, for example, the interference signal can be the reflection interference in the optical fiber. After determining the interference signal in the optical fiber sensing signal, the processor can process the interference signal to obtain the target optical fiber signal.
[0036] In an embodiment of the present application, determining the interference signal in the optical fiber sensing signal according to the stress distribution data includes: extracting interference features from the stress distribution data; and identifying the interference signal based on the interference features.
[0037] The processor can determine the interference signal in the optical fiber sensing signal based on the stress distribution data. Specifically, the processor can extract interference features such as large fluctuations in stress change rate, stress fluctuation patterns, local stress peaks, etc. from the stress distribution data. After extracting the interference features, the processor can identify interference signals such as thermal noise, spontaneous noise, and scattered noise based on the interference features.
[0038] In an embodiment of the present application, extracting interference features from stress distribution data includes: determining the stress at the interface of the optical fiber and the stress in the bending area based on the optical fiber structure data and the stress distribution data; determining the interference position based on the stress at the interface and the stress in the bending area; and extracting interference features from the interference position.
[0039] The processor can extract interference features from the stress distribution data. Specifically, the processor can determine the stress at the interface of the optical fiber and the stress in the bending area based on the optical fiber structure data and the stress distribution score. After determining the stress at the optical fiber interface and the stress in the bending area, the processor can determine the interference position based on the stress at the interface and the stress in the bending area. And extract interference features from the interference position. For example, the processor can analyze the stress at the optical fiber interface to identify the interference source generated by the interference signal, and then determine the location of the high interference area, and extract interference features from the location of the high interference area. The processor can analyze the stress in the bending area, further identify the location where the interference signal occurs, and extract interference features from this location.
[0040] In an embodiment of the present application, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: denoising the optical fiber structure data and material physical parameters respectively, and deleting invalid data in the denoised optical fiber structure data and material physical parameters to obtain processed optical fiber structure data and material physical parameters; normalizing the processed optical fiber structure data and material physical parameters; using MatDEM to process the normalized optical fiber structure data to obtain an initial optical fiber model; and assigning values to the initial optical fiber model using the normalized material physical parameters to obtain a target optical fiber model.
[0041] The processor can determine the target fiber model according to the fiber structure data and the material physical parameters. Specifically, the processor performs denoising on the fiber structure data and the material physical parameters respectively to obtain the denoised fiber structure data and the material physical parameters. After obtaining the denoised fiber structure data and the material physical parameters, the processor can determine the invalid data in the denoised fiber structure data and the material physical parameters. After determining the invalid data in the denoised fiber structure data and the material physical parameters, the processor can delete the invalid data in the denoised fiber structure data and the material physical parameters to obtain the processed fiber structure data and the material physical parameters. The invalid data can be abnormal data that does not conform to the physical law. Deleting these abnormal data effectively avoids the subsequent calculation deviation caused by data errors, and can improve the accuracy of the simulation of the subsequent target fiber model. After obtaining the processed fiber structure data and the material physical parameters, the processor can normalize the processed fiber structure data and the material physical parameters to obtain the normalized fiber structure data and the material physical parameters. Normalization processing can normalize data of different dimensions and ensure the consistency of data at different scales. After obtaining the normalized optical fiber structure data and material physical parameters, the processor can use MatDEM (discrete element modeling technology) to process the normalized optical fiber structure data to obtain an initial optical fiber model. After obtaining the initial optical fiber model, the processor can use the normalized material physical parameters to assign values to the initial optical fiber model to obtain a target optical fiber model. In a specific embodiment, the target optical fiber model can be a geometric model, such as a two-dimensional model, a three-dimensional model, etc.
[0042] In an embodiment of the present application, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: acquiring environmental data of the environment in which the optical fiber is located; denoising the environmental data and deleting invalid data in the denoised environmental data to obtain processed environmental data; normalizing the processed environmental data; and using the normalized environmental data to adjust the assigned initial optical fiber model to obtain a target optical fiber model.
[0043] The processor can determine the target optical fiber model based on the optical fiber structure data and the physical parameters of the material. Specifically, the processor can obtain environmental data of the environment in which the optical fiber is located, such as ambient temperature, ambient humidity, etc., and perform denoising on the environmental data to obtain denoised environmental data. After obtaining the denoised environmental data, the processor can determine the invalid data in the denoised environmental data. After determining the invalid data in the denoised environmental data, the processor can delete the invalid data in the denoised environmental data to obtain processed environmental data. After obtaining the processed environmental data, the processor can perform normalization on the processed environmental data to obtain normalized environmental data.
[0044] The processor can also perform denoising on the optical fiber structure data and the material physical parameters respectively to obtain the denoised optical fiber structure data and the material physical parameters. After obtaining the denoised optical fiber structure data and the material physical parameters, the processor can determine the invalid data in the denoised optical fiber structure data and the material physical parameters. After determining the invalid data in the denoised optical fiber structure data and the material physical parameters, the processor can delete the invalid data in the denoised optical fiber structure data and the material physical parameters to obtain the processed optical fiber structure data and the material physical parameters, and the invalid data can be abnormal data that does not conform to the physical law. After obtaining the processed optical fiber structure data and the material physical parameters, the processor can perform normalization on the processed optical fiber structure data and the material physical parameters to obtain the normalized optical fiber structure data and the material physical parameters. After obtaining the normalized optical fiber structure data and the material physical parameters, the processor can use MatDEM (discrete element modeling technology) to process the normalized optical fiber structure data to obtain the initial optical fiber model. After obtaining the initial optical fiber model, the processor can use the normalized material physical parameters to assign values to the initial optical fiber model. After completing the assignment of the initial optical fiber model, the processor can use the normalized environmental data to adjust the assigned initial optical fiber model to obtain the target optical fiber model, thereby improving the model simulation capability of the target optical fiber model.
[0045] In an embodiment of the present application, the method also includes: after determining the interference signal in the optical fiber sensing signal according to the stress distribution data, generating a stress distribution map according to the stress distribution data and the interference signal; determining a first area in the stress distribution map where the stress is greater than a preset stress and a second area where the intensity of the interference signal is greater than a preset intensity; rendering the first area into a first color and rendering the second area into a second color to obtain a rendered stress distribution map; and visualizing the rendered stress distribution map.
[0046] After determining the interference signal in the optical fiber sensing signal according to the stress distribution data, the processor can generate a stress distribution map according to the stress distribution data and the interference signal. After obtaining the stress distribution map, the processor can determine the first area in the stress distribution map where the stress is greater than the preset stress and the second area where the intensity of the interference signal is greater than the preset intensity. Among them, the preset stress is determined according to the needs of the user, and the preset stress is determined according to the needs of the user. After obtaining the first area where the stress is greater than the preset stress and the second area where the intensity of the interference signal is greater than the preset intensity, the processor can render the first area into a first color and the second area into a second color to obtain a rendered stress distribution map; visualize the rendered stress distribution map. Among them, the first color and the second color are two different colors to show the stress level and the intensity of the interference signal in each area of the optical fiber, which is convenient for users to analyze and mark high interference points and respond quickly to interference in time.
[0047] In the embodiment of the present application, processing the interference signal to obtain the target optical fiber sensing signal includes: using a wavelet transform algorithm to filter the interference signal to obtain the target optical fiber sensing signal.
[0048] The processor can process the interference signal to obtain the target optical fiber sensing signal. Specifically, the processor can filter the interference signal using a wavelet transform algorithm to obtain the target optical fiber sensing signal, so as to effectively remove noise in the optical fiber sensing signal and ensure the integrity and stability of the optical fiber sensing signal.
[0049] In an embodiment of the present application, processing the interference signal to obtain the target optical fiber sensing signal includes: adjusting the frequency and phase of the interference signal to compensate for the interference signal; and determining the compensated interference signal and other signals in the optical fiber sensing signal except the interference signal as the target optical fiber sensing signal.
[0050] The processor can process the interference signal to obtain the target optical fiber sensing signal. Specifically, the processor can adjust the frequency and phase of the interference signal to compensate for the interference signal; and determine the compensated interference signal and other signals in the optical fiber sensing signal except the interference signal as the target optical fiber sensing signal to reduce the influence of the interference signal on the signal quality of the optical fiber sensing signal.
[0051] Through the above technical solution, the signal quality and signal strength of the optical fiber sensing signal are improved, and the optical fiber sensing signal is made more stable and less prone to signal fluctuations.
[0052] Figure 1 FIG. 1 is a flow chart of a method for processing optical fiber sensing signals in one embodiment. It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.
[0053] The present application also provides a device for processing an optical fiber sensing signal, comprising:
[0054] a memory configured to store instructions;
[0055] The processor is configured to call instructions from the memory and implement the above method for processing optical fiber sensing signals when executing the instructions.
[0056] An embodiment of the present application further provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned method for processing optical fiber sensing signals.
[0057] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 2 As shown. The computer device includes a processor A01, a network interface A02, a memory (not shown in the figure) and a database (not shown in the figure) connected through a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02 and a database (not shown in the figure). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A04. The database of the computer device is used to store data such as optical fiber sensing signals, optical fiber structure data, material physical parameters, stress distribution data, interference signals and target optical fiber sensing signals. The network interface A02 of the computer device is used to communicate with an external terminal through a network connection. When the computer program B02 is executed by the processor A01, a method for processing optical fiber sensing signals is implemented.
[0058] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0059] An embodiment of the present application provides a device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: obtaining a fiber sensing signal, fiber structural data, and material physical parameters of any optical fiber, wherein the fiber structural data includes at least one of the length and diameter of the optical fiber, and the material physical parameters include at least one of the elastic modulus, density, and refractive index of the optical fiber; determining a target optical fiber model based on the fiber structural data and the material physical parameters; performing simulation using the target optical fiber model to obtain stress distribution data of the optical fiber; determining an interference signal in the optical fiber sensing signal based on the stress distribution data; and processing the interference signal to obtain a target optical fiber sensing signal.
[0060] In one embodiment, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: denoising the optical fiber structure data and material physical parameters respectively, and deleting invalid data in the denoised optical fiber structure data and material physical parameters to obtain processed optical fiber structure data and material physical parameters; normalizing the processed optical fiber structure data and material physical parameters; processing the normalized optical fiber structure data using MatDEM to obtain an initial optical fiber model; and assigning values to the initial optical fiber model using the normalized material physical parameters to obtain a target optical fiber model.
[0061] In one embodiment, determining a target optical fiber model based on optical fiber structure data and material physical parameters includes: acquiring environmental data of an environment in which the optical fiber is located; denoising the environmental data and deleting invalid data in the denoised environmental data to obtain processed environmental data; normalizing the processed environmental data; and using the normalized environmental data to adjust the assigned initial optical fiber model to obtain a target optical fiber model.
[0062] In one embodiment, determining the interference signal in the optical fiber sensing signal according to the stress distribution data includes: extracting interference features from the stress distribution data; and identifying the interference signal based on the interference features.
[0063] In one embodiment, extracting interference features from stress distribution data includes: determining the stress at the interface of the optical fiber and the stress in the bending area based on the optical fiber structure data and the stress distribution data; determining the interference position based on the stress at the interface and the stress in the bending area; and extracting interference features from the interference position.
[0064] In one embodiment, processing the interference signal to obtain the target optical fiber sensing signal includes: using a wavelet transform algorithm to filter the interference signal to obtain the target optical fiber sensing signal.
[0065] In one embodiment, processing the interference signal to obtain the target optical fiber sensing signal includes: adjusting the frequency and phase of the interference signal to compensate for the interference signal; and determining the compensated interference signal and other signals in the optical fiber sensing signal except the interference signal as the target optical fiber sensing signal.
[0066] In one embodiment, the method also includes: after determining the interference signal in the optical fiber sensing signal according to the stress distribution data, generating a stress distribution map according to the stress distribution data and the interference signal; determining a first area in the stress distribution map where the stress is greater than a preset stress and a second area where the intensity of the interference signal is greater than a preset intensity; rendering the first area into a first color and rendering the second area into a second color to obtain a rendered stress distribution map; and visualizing the rendered stress distribution map.
[0067] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that initializes the method steps for processing optical fiber sensor signals.
[0068] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0069] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0070] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0072] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0073] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0074] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0075] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
[0076] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.
Claims
1. A method for processing optical fiber sensing signals, characterized in that: The method comprises: Acquire a fiber sensing signal, fiber structure data, and material physical parameters of any optical fiber, wherein the fiber structure data includes at least one of the length and diameter of the optical fiber, and the material physical parameters include at least one of the elastic modulus, density, and refractive index of the optical fiber; Determine a target optical fiber model according to the optical fiber structure data and the material physical parameters; Using the target optical fiber model to perform simulation to obtain stress distribution data of the optical fiber; Determine the interference signal in the optical fiber sensing signal according to the stress distribution data; The interference signal is processed to obtain a target optical fiber sensing signal.
2. The method for processing optical fiber sensing signals according to claim 1, characterized in that: Determining the target optical fiber model according to the optical fiber structure data and the material physical parameters comprises: Denoising the optical fiber structure data and the material physical parameters respectively, and deleting invalid data in the denoised optical fiber structure data and material physical parameters to obtain processed optical fiber structure data and material physical parameters; Normalizing the processed optical fiber structure data and material physical parameters; Use MatDEM to process the normalized optical fiber structure data to obtain an initial optical fiber model; The normalized material physical parameters are used to assign values to the initial optical fiber model to obtain the target optical fiber model.
3. The method for processing optical fiber sensing signals according to claim 2, characterized in that: Determining the target optical fiber model according to the optical fiber structure data and the material physical parameters comprises: Acquiring environmental data of the environment in which the optical fiber is located; De-noising the environmental data and deleting invalid data in the de-noised environmental data to obtain processed environmental data; performing normalization processing on the processed environmental data; The normalized environmental data is used to adjust the assigned initial optical fiber model to obtain the target optical fiber model.
4. The method for processing optical fiber sensing signals according to claim 1, characterized in that: Determining the interference signal in the optical fiber sensing signal according to the stress distribution data comprises: extracting interference features from the stress distribution data; The interference signal is identified based on the interference signature.
5. The method for processing optical fiber sensing signals according to claim 4, characterized in that: The extracting interference features from the stress distribution data comprises: Determine the stress at the interface of the optical fiber and the stress in the bending area according to the optical fiber structure data and the stress distribution data; Determining an interference position according to the stress at the interface and the stress in the bending area; The interference feature is extracted from the interference position.
6. The method for processing optical fiber sensing signals according to claim 1, characterized in that: The processing of the interference signal to obtain a target optical fiber sensing signal comprises: The interference signal is filtered using a wavelet transform algorithm to obtain the target optical fiber sensing signal.
7. The method for processing optical fiber sensing signals according to claim 1, characterized in that: The processing of the interference signal to obtain a target optical fiber sensing signal comprises: Adjusting the frequency and phase of the interference signal to compensate for the interference signal; The compensated interference signal and other signals in the optical fiber sensing signal except the interference signal are determined as the target optical fiber sensing signal.
8. The method for processing optical fiber sensing signals according to claim 1, characterized in that: The method further comprises: After determining the interference signal in the optical fiber sensing signal according to the stress distribution data, generating a stress distribution map according to the stress distribution data and the interference signal; Determine a first region in the stress distribution graph where the stress is greater than a preset stress and a second region where the intensity of the interference signal is greater than a preset intensity; Rendering the first area into a first color and rendering the second area into a second color to obtain a rendered stress distribution map; Visualize the stress distribution after rendering.
9. A device for processing optical fiber sensing signals, characterized in that: include: a memory configured to store instructions; A processor is configured to call the instructions from the memory and implement the method for processing optical fiber sensing signals according to any one of claims 1 to 8 when executing the instructions.
10. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores instructions, and the instructions are used to enable a machine to execute the method for processing an optical fiber sensing signal according to any one of claims 1 to 8.