A fiber-to-fiber method and system

Abstract

The application relates to the field of optical fiber sensing, and more particularly to an optical fiber splicing method and system. The method comprises the following steps: acquiring current data of a plurality of optical fiber positions to be analyzed; the current data is acquired by photoelectric conversion of optical power data collected by a splicing device clamped on the optical fiber positions to be analyzed; the current data is processed respectively to obtain corresponding frequency data, an amplitude threshold value is acquired according to the frequency data, and an analyzed frequency in each current data is extracted according to the amplitude threshold value; frequency matching analysis is performed on the analyzed frequencies, a plurality of analyzed frequencies that are frequency-matched with each other are acquired as target frequencies; node position information corresponding to each target frequency is acquired, and the node position information is classified into the same optical path. The method is used for reducing the interference of noise and errors in the optical fiber splicing process, so as to accurately position the optical fiber node position.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of optical fiber sensing, and more particularly, to an optical fiber splicing method and system. BACKGROUND

[0002] Optical fiber communication has the advantages of wide transmission band, large communication capacity, low transmission loss, long relay distance, strong insulation, strong anti-electromagnetic interference performance, strong corrosion resistance, strong radiation resistance, good bendability, no electric spark, small leakage, strong confidentiality, etc. It is widely used in server and submarine signal transmission industry. At the same time, in the operation and maintenance of optical fiber, an optical fiber detection device is usually used to measure the leakage power of the scattered light of the bending section of the optical fiber, so as to realize the detection and maintenance of the optical fiber link, and facilitate the positioning of the connection of the same optical fiber to the corresponding equipment. However, the existing optical fiber detection device usually only makes a simple analysis and matching of the leakage light signal, and in the presence of noise interference or false touch interference of the optical fiber, the matching accuracy of the optical fiber detection device decreases, so that the connection path of the optical fiber cannot be quickly and accurately positioned.

[0003] Therefore, it is necessary to improve the method of optical fiber splicing. SUMMARY

[0004] The present application provides an optical fiber splicing method and system for reducing the interference of noise and error during the optical fiber splicing process, so as to accurately position the node position of the optical fiber.

[0005] According to a first aspect of the present application, an optical fiber splicing method is provided, the method comprising:

[0006] Obtaining current data of a plurality of to-be-analyzed optical fiber positions; wherein the current data is obtained by photoelectric conversion of optical power data collected by a splicing device clamped on the to-be-analyzed optical fiber position;

[0007] Respectively processing the current data to obtain corresponding frequency data, obtaining corresponding amplitude threshold values according to the frequency data, and extracting to-be-analyzed frequencies in each current data according to the corresponding amplitude threshold values;

[0008] Frequency matching analysis is performed on the to-be-analyzed frequencies, and a plurality of to-be-analyzed frequencies with matched frequencies are obtained as target frequencies;

[0009] Obtaining node position information corresponding to each target frequency, and classifying each node position information into the same optical path.

[0010] It can be understood that the current data of multiple optical fiber positions to be analyzed is collected to provide a comprehensive data basis for subsequent analysis; by extracting the to-be-analyzed frequency in the current data and performing frequency matching analysis on multiple to-be-analyzed frequencies, the node position information with frequency matching is accurately identified, the optical fiber node position information is quickly positioned, and the positioning accuracy and efficiency are improved; by matching and identifying the to-be-analyzed frequency, the traditional manual visual inspection is replaced, the influence of external factors such as fiber bending, surface pollution or noise on the detection result is avoided, and at the same time, the automatic batch processing is supported, the minute-level accurate positioning of the node position information can be realized under complex working conditions, and key technical support is provided for reliable maintenance of optical fiber positioning.

[0011] Optionally, the processing of the current data respectively to obtain corresponding frequency data comprises:

[0012] The current data is divided into current data segments based on a preset length of a data window.

[0013] The current data segments are processed by fast Fourier transform to obtain frequency data.

[0014] It can be understood that the current data is segmented by using a data window with a preset length, the time length requirement of the analysis is flexibly adapted by adjusting the window size, the frequency resolution is effectively improved, and the frequency resolution is effectively improved. Compared with traditional time domain analysis, the frequency recognition sensitivity and calculation efficiency are greatly improved.

[0015] Optionally, the amplitude threshold value corresponding to the frequency data is obtained, and the to-be-analyzed frequency in each current data is extracted according to the corresponding amplitude threshold value, comprising:

[0016] The positive frequency data of the frequency data is obtained.

[0017] The amplitude threshold value is obtained according to the positive frequency data.

[0018] According to the positive frequency data, a plurality of matching amplitudes with amplitudes greater than the frequency threshold value in the positive frequency data are obtained.

[0019] The maximum amplitude of the plurality of matching amplitudes is obtained, and the frequency corresponding to the maximum amplitude is taken as the to-be-analyzed frequency of the optical power data.

[0020] It can be understood that by retaining the positive frequency data, eliminating the redundant negative frequency components, simplifying the complexity of frequency domain analysis and focusing on the effective signal range, a plurality of matching amplitudes are extracted according to the amplitude threshold screening, and the frequency corresponding to the maximum value in the matching amplitude is selected as the frequency to be analyzed, the main frequency component with the highest signal strength and the most prominent characteristics is preferentially captured, the accurate extraction and optimized screening of the frequency to be analyzed are realized, and the accuracy and anti-interference ability of signal feature recognition are significantly improved.

[0021] Optionally, the amplitude threshold is obtained according to the positive frequency data, comprising:

[0022] The mean and variance of the amplitudes in the positive frequency data are calculated according to the positive frequency data;

[0023] The amplitude threshold is obtained based on the mean and the variance.

[0024] It can be understood that the mean and variance of the amplitudes are calculated based on the positive frequency data, the energy distribution characteristics of the positive frequency data are quantified by mathematical statistical method, and objective basis is provided for amplitude threshold setting; the amplitude threshold is dynamically generated in combination with the signal baseline level reflected by the mean of the amplitudes and the fluctuation degree represented by the variance of the amplitudes; the amplitude threshold can be automatically adjusted with the changes of the fiber environment, signal strength and noise level, avoiding false judgment or missed detection caused by fixed amplitude threshold; the intelligent dynamic generation of the amplitude threshold is realized, and the adaptability and anti-interference ability of signal feature extraction are significantly improved.

[0025] Optionally, the frequency matching analysis is performed on the frequency to be analyzed, and a plurality of target frequencies are obtained by matching the frequencies to be analyzed.

[0026] The test frequency is obtained, wherein the test frequency is obtained in the fiber clamping device;

[0027] A matching interval is preset based on the test frequency;

[0028] The target frequency is obtained by falling into the matching interval.

[0029] It can be understood that the test frequency is obtained from the fiber clamping device, which can truly reflect the current frequency characteristics of the clamped optical fiber transmission, and provide a data reference for finding the node position information belonging to the optical fiber. Then, a preset matching interval is based on the test frequency, which can exclude abnormal interference signals by reasonably setting a threshold range, while retaining the normal frequency offset tolerance caused by environmental fluctuations. Finally, through interval screening, only the to-be-analyzed frequencies with strong correlation with the test frequency are reserved as target frequencies, which can significantly reduce the interference of background noise and other irrelevant frequency components, ensure that the extracted target frequencies have clear positioning significance, and effectively improve the extraction accuracy and environmental adaptability of the target frequencies.

[0030] Optionally, the frequency matching analysis of the to-be-analyzed frequencies is performed to obtain a plurality of to-be-analyzed frequencies that are frequency-matched as target frequencies, comprising:

[0031] a preset frequency band interval;

[0032] to-be-analyzed frequencies falling into the same frequency band interval are classified into the same matching frequency class;

[0033] to-be-analyzed frequencies belonging to the same matching frequency class are taken as target frequencies.

[0034] It can be understood that the preset frequency band interval is set based on the optical fiber transmission characteristics, environmental noise distribution or historical data experience value, and the complex frequency spectrum is divided into a plurality of sub-frequency bands to provide a structured framework for the classification of the to-be-measured optical fiber frequencies. To-be-analyzed frequencies falling into the same frequency band interval are classified into a matching frequency class, which can effectively reduce the influence of random fluctuations or noise interference of a single frequency point on the analysis results, and at the same time, the frequency aggregation feature is used to enhance the saliency of the signal feature. To-be-analyzed frequencies belonging to the same matching frequency class are taken as target frequencies, which improves the analysis robustness of the to-be-analyzed frequencies.

[0035] According to a second aspect of the present application, an optical fiber pair system is provided, comprising:

[0036] a current data acquisition module for acquiring current data of a plurality of to-be-analyzed optical fiber positions; wherein the current data is obtained by photoelectric conversion of optical power data collected by the optical fiber pair device clamped at the to-be-analyzed optical fiber position;

[0037] a to-be-analyzed frequency acquisition module for processing the current data to obtain corresponding frequency data, acquiring a corresponding amplitude threshold value according to the frequency data, and extracting to-be-analyzed frequencies in each current data according to the corresponding amplitude threshold value;

[0038] a target frequency acquisition module for performing frequency matching analysis on the to-be-analyzed frequencies to obtain a plurality of to-be-analyzed frequencies that are frequency-matched as target frequencies;

[0039] a node position information obtaining module, configured to obtain node position information corresponding to each of the target frequencies, and classify each of the node position information into a same optical path.

[0040] According to a third aspect of the present application, a fiber pair system is provided, comprising:

[0041] a fiber clamping device, configured to clamp a to-be-tested optical fiber and apply vibration of a preset test frequency to the to-be-tested optical fiber;

[0042] a plurality of fiber pair devices, specifically comprising:

[0043] a clamping module, configured to clamp the fiber pair device at a to-be-analyzed optical fiber position;

[0044] an optical power data obtaining module, configured to obtain optical power data corresponding to the to-be-analyzed optical fiber position;

[0045] an optical-electricity conversion module, configured to perform optical-electricity conversion on the optical power data to obtain corresponding current data;

[0046] a frequency data obtaining module, configured to process the current data to obtain corresponding frequency data;

[0047] an extraction module, configured to obtain an amplitude threshold value according to the frequency data, and extract a to-be-analyzed frequency in the current data according to the amplitude threshold value;

[0048] a signal processing device, specifically comprising:

[0049] a receiving module, configured to receive the to-be-analyzed frequency sent by the plurality of fiber pair devices;

[0050] an analysis module, configured to perform frequency matching analysis on the to-be-analyzed frequency, and obtain a plurality of to-be-analyzed frequencies with mutual frequency matching as target frequencies;

[0051] an optical path determining module, configured to obtain node position information corresponding to each of the target frequencies, and classify each of the node position information into an optical path of the to-be-tested optical fiber.

[0052] Optionally, the frequency data obtaining module of the fiber pair device is specifically configured to:

[0053] divide the current data into current data segments based on a preset length of a data window;

[0054] perform fast Fourier transform processing on the current data segments to obtain frequency data.

[0055] Optionally, the extraction module of the fiber pair device is specifically configured to:

[0056] obtaining positive frequency data in the frequency data;

[0057] obtaining an amplitude threshold according to the positive frequency data;

[0058] obtaining a plurality of matching amplitudes in the positive frequency data according to the positive frequency data, the matching amplitudes being greater than the amplitude threshold;

[0059] obtaining a maximum amplitude in the plurality of matching amplitudes, and taking a frequency corresponding to the maximum amplitude as an analysis frequency of the current data.

[0060] Based on any one of the above aspects, the embodiments of the present application provide a fiber pairing method and system, which obtains current data of a plurality of fiber positions to be analyzed; the current data is obtained by photoelectric conversion of optical power data collected by a fiber pairing device clamped at the fiber positions to be analyzed; the current data is processed to obtain corresponding frequency data, an amplitude threshold is obtained according to the frequency data, and an analysis frequency in each current data is extracted according to the amplitude threshold; frequency matching analysis is performed on the analysis frequencies, a plurality of analysis frequencies that match each other are obtained as target frequencies, node position information corresponding to each target frequency is obtained, and the node position information is classified into the same optical path. The method has the following advantages:

[0061] Automatic and accurate data processing: the optical power data is converted into current data by the fiber pairing device clamped at the fiber positions to be analyzed, breaking through the limitation of traditional optical fiber detection relying on optical sensors; a quantitative mapping relationship between the optical power data and the current data is established through photoelectric conversion, providing a calculable digital basis for subsequent analysis; the current data is processed by fast Fourier transform to obtain frequency data, which can more intuitively obtain the transformation and value of the frequency, thereby improving the accuracy of data recognition and the efficiency of data processing.

[0062] Dynamic threshold extraction mechanism: the current data is analyzed in the frequency domain to obtain the frequency data, and the amplitude threshold obtained adaptively is used to dynamically exclude environmental noise and equipment noise, and retain the characteristic frequency of the physical properties of the optical fiber. This self-adjusting mechanism of the amplitude threshold can still maintain high signal recognition accuracy in a complex electromagnetic environment.

[0063] Improved fiber pairing efficiency: the analysis frequencies are matched and analyzed, and the analysis frequencies that match each other are automatically classified into the same optical path, which can support simultaneous processing of multiple fiber pairing operations, avoid the complex and tedious steps of traditional manual fiber pairing, and improve the efficiency of fiber pairing. BRIEF DESCRIPTION OF DRAWINGS

[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0065] Figure 1 A flowchart of a fiber pairing method provided for the embodiment.

[0066] Figure 2 A current data graph corresponding to the optical fiber position a to be analyzed provided for the embodiment.

[0067] Figure 3 A current data graph corresponding to the optical fiber position b to be analyzed provided for the embodiment.

[0068] Figure 4 A current data graph corresponding to the optical fiber position c to be analyzed provided for the embodiment.

[0069] Figure 5 A flowchart of obtaining a frequency to be analyzed provided for the embodiment.

[0070] Figure 6 A fast Fourier transform frequency graph corresponding to the optical fiber position a to be analyzed provided for the embodiment.

[0071] Figure 7 A fast Fourier transform frequency graph corresponding to the optical fiber position b to be analyzed provided for the embodiment.

[0072] Figure 8 A fast Fourier transform frequency graph corresponding to the optical fiber position c to be analyzed provided for the embodiment.

[0073] Figure 9 A flowchart of obtaining a target frequency provided for the embodiment Figure 1 .

[0074] Figure 10 A flowchart of obtaining a target frequency provided for the embodiment Figure 2 .

[0075] Figure 11 A flowchart of obtaining a target frequency provided for the embodiment Figure 3 .

[0076] Figure 12 A functional module schematic diagram of a fiber pairing system provided for the embodiment. DETAILED DESCRIPTION

[0077] The drawings of the present application are only used for illustrative description, and cannot be understood as limitation to the present application. In order to better illustrate the following embodiments, some components in the drawings may be omitted, enlarged or reduced, and the size of the actual product is not represented. It is understandable for those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0078] In order to enable those skilled in the art to better understand the technical scheme of the present application, 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. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0079] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0080] As a key link of optical fiber network maintenance, the traditional implementation of fiber alignment technology mainly relies on the cooperative work of fiber clamping equipment and fiber alignment equipment: the fiber clamping equipment generates a controllable light leakage signal by mechanically clamping a specific position of the optical fiber, and the remote fiber alignment equipment captures the characteristic frequency of the light signal through photoelectric conversion, and then establishes the spatial correlation between the two to realize fiber alignment positioning. However, this technology has exposed significant efficiency bottlenecks and reliability defects in actual application scenarios. On the one hand, the traditional system adopts a one-to-one fiber clamping-fiber alignment equipment pairing mode, and a single fiber alignment equipment can only respond to the signal of a single fiber clamping equipment, so in a large-scale optical fiber network, the equipment combination needs to be frequently replaced, resulting in long detection period and high labor cost. On the other hand, due to the ubiquitous background noise in optical fiber links such as environmental electromagnetic interference and optical fiber bending loss, the traditional matching strategy based on simple signal similarity cannot effectively distinguish between effective signals and noise, and frequency mismatch often occurs. Therefore, it is necessary to improve the fiber alignment method.

[0081] The present embodiment provides a technical solution that can solve the above problems. The specific embodiments of the present application will be described in detail below in conjunction with the drawings.

[0082] Embodiment 1

[0083] As shown in Figure 1 Embodiment 1 provides an optical fiber pair method, which can be divided into the following steps:

[0084] S100, obtaining current data of a plurality of to-be-analyzed optical fiber positions; wherein the current data is obtained by photoelectric conversion of optical power data collected by a pair device clamped at the to-be-analyzed optical fiber position;

[0085] It can be understood that a piece of optical fiber will be connected to each device in the machine room to complete different connection requirements due to the need for transmission and layout. In the machine room, there will be multiple optical fibers stored and connected, and in multiple ports of each device, multiple optical fibers will also be connected one by one. Therefore, the arrangement of optical fibers in the machine room is complex, and when it is necessary to obtain the specific direction of a to-be-tested optical fiber in the machine room or which port of the device the to-be-tested optical fiber is connected to, a fiber clamping device and a pair device are needed to obtain the corresponding optical fiber position of the to-be-tested optical fiber in the machine room.

[0086] In this embodiment, a fiber clamping device is clamped at one of the positions of the to-be-tested optical fiber, and the fiber clamping device can regularly open and close the clamping part of the optical fiber, thereby causing the optical power in the to-be-tested optical fiber to fluctuate. In the to-be-analyzed optical fiber position that needs to be determined whether it belongs to the to-be-tested optical fiber, a pair device for collecting current data of the optical fiber is clamped to obtain the current data corresponding to the to-be-analyzed optical fiber position. The obtained current data is processed to obtain a plurality of to-be-analyzed frequencies, and whether the to-be-analyzed frequencies corresponding to the to-be-analyzed optical fiber position match each other is analyzed to determine whether the node position information corresponding to the to-be-analyzed frequencies belongs to the same optical path. In this embodiment, the pair device can be clamped at a plurality of to-be-analyzed optical fiber positions at the same time, and the current data corresponding to the plurality of to-be-analyzed optical fiber positions can be obtained at the same time, so that the node position information belonging to the same optical path can be found at the same time.

[0087] It can be understood that the pair device needs to first obtain the optical power data of the to-be-analyzed position and perform photoelectric conversion on the optical power data to obtain the corresponding current data, which can reduce the complexity and instability of directly processing the optical power data, thereby improving the accuracy of data processing and reducing the obvious noise of the data to a certain extent.

[0088] It can be understood that the current data lasts for a preset time period, which is used to reflect the change of the optical power data in the preset time period. Preferably, the photoelectric conversion is a process of converting optical energy into electrical energy by using a physical effect, which in this embodiment is specifically converting the optical energy signal of the optical power data into an electrical energy signal; preferably, the optical power data converted by photoelectric conversion also needs to complete analog-to-digital conversion to obtain the current data in this embodiment, wherein the analog-to-digital conversion is completed by an analog-to-digital converter ADC (Analog to Digital Converter). Exemplarily, as shown in Figure 2 The current data of the optical fiber position a to be analyzed is as follows: Figure 3 The current data of the optical fiber position b to be analyzed is as follows: Figure 4 The current data of the optical fiber position c to be analyzed is as follows.

[0089] It can be understood that each node on the optical fiber will have position information, which can be recorded in the form of coordinate data and / or label data. The position of the optical fiber to be analyzed held by the fiber device corresponds to a node on the optical fiber, and the node also has position information. The application can determine whether the plurality of optical fiber positions to be analyzed belong to the same optical path, specifically whether the node position information corresponding to the plurality of optical fiber positions to be analyzed belongs to the same optical path.

[0090] S200, respectively processing the current data to obtain corresponding frequency data, acquiring corresponding amplitude threshold values according to the frequency data, and extracting the frequency to be analyzed in each current data according to the corresponding amplitude threshold values;

[0091] In this embodiment, the current data needs to be processed to obtain corresponding frequency data, and the frequency to be analyzed of the current data is extracted according to the acquired amplitude threshold value, which can make the current data show more obvious data characteristics, so that the corresponding frequency to be analyzed of each current data can be more accurately acquired, and the accuracy and reliability of data processing are improved.

[0092] It can be understood that after the fiber device acquires the corresponding frequency to be analyzed according to the current data, the frequency to be analyzed can be transmitted to the information processing device through the data communication component, the information processing device summarizes all the frequencies to be analyzed received, and judges whether they belong to the same optical path through matching analysis of a plurality of frequencies to be analyzed, which can improve the efficiency of matching analysis of the frequency to be analyzed and the steps and standards of unified analysis and processing. Preferably, the data communication component includes but is not limited to a Bluetooth transmission component, and the information processing device includes but is not limited to an application APP (Application) capable of matching analysis of the frequency to be analyzed.

[0093] Specifically, the processing of the current data to obtain corresponding frequency data can include:

[0094] divide the current data based on a preset length of data window to obtain current data segments;

[0095] In this embodiment, the length of the data window needs to be preset, and the current data is divided based on the preset length of the data window to obtain current data segments. The divided current data segments need to be subsequently subjected to fast Fourier transform processing to extract frequency data. Preferably, the length of the data window can be adjusted according to the actual application scenario, and the greater the length of the data window, the higher the resolution of the obtained frequency data.

[0096] performing fast Fourier transform processing on the current data segments to obtain frequency data.

[0097] Specifically, as shown in Figure 5 the frequency data to obtain corresponding amplitude threshold values, and extracting the to-be-analyzed frequency in each current data according to the corresponding amplitude threshold values can include the following steps:

[0098] S210, obtaining positive frequency data of the frequency data;

[0099] In this embodiment, the obtained frequency data can include positive frequency data and negative frequency data. Since the test frequency generated by the to-be-tested optical fiber matches the positive frequency data subjected to fast Fourier transform, only the positive frequency data is processed and analyzed in this embodiment, thereby reducing redundant information of processing the negative frequency data and improving the efficiency of matching analysis.

[0100] S220, obtaining an amplitude threshold value according to the positive frequency data;

[0101] In this embodiment, the amplitude threshold value is not a fixed value preset in advance, but can be obtained according to the specific data distribution of the positive frequency data, so that the amplitude threshold value can be adaptively changed according to the positive frequency data, thereby enabling the matching amplitude to be more reasonable and reliable.

[0102] S230, obtaining a plurality of matching amplitudes with an amplitude greater than the amplitude threshold value in the positive frequency data according to the positive frequency data;

[0103] In this embodiment, since the fiber clamping device is regularly opened and closed at one end of the to-be-tested optical fiber, and noise interference is inevitable during collection. Therefore, if the to-be-analyzed optical fiber position belongs to the to-be-tested optical fiber, the obtained positive frequency data can also have a plurality of matching amplitude peaks within the error allowable range. Therefore, a plurality of matching amplitudes need to be obtained from the positive frequency data, which will be used as data basis for finding the corresponding to-be-analyzed frequency in the subsequent process.

[0104] Specifically, the acquiring the amplitude threshold value according to the positive frequency data comprises:

[0105] calculating a mean value and a variance of the amplitudes in the positive frequency data according to the positive frequency data;

[0106] acquiring the amplitude threshold value based on the mean value and the variance.

[0107] In this embodiment, the mean value of the amplitudes in the positive frequency data and the variance of the amplitudes in the positive frequency data are first calculated, and then the amplitude threshold value is acquired based on the mean value and the variance. Specifically, the amplitude threshold value can be acquired by the following formula:

[0108] amplitude threshold value = mean value + preset multiple * variance

[0109] Preferably, the preset multiple can be three times. It can be understood that the test frequency generated by the fiber clamping device usually corresponds to the energy peak value in the frequency data, and the amplitude is significantly higher than the noise. By setting the amplitude threshold value and calculating it by the above formula, most random noise can be filtered out while retaining the high frequency components corresponding to the frequency data. At the same time, the mean value and the variance are calculated based on the current positive frequency data, and the amplitude threshold value will automatically adjust with the noise level. For example, in a strong interference environment, the noise variance increases, and the amplitude threshold value increases to avoid misjudgment; in a weak interference environment, the amplitude threshold value decreases to avoid missing detection.

[0110] S240, acquiring a maximum amplitude in the matching amplitudes, and taking the frequency corresponding to the maximum amplitude as the to-be-analyzed frequency corresponding to the current data.

[0111] In this embodiment, all matching amplitudes need to be traversed, and the maximum amplitude in the matching amplitudes is found. The frequency corresponding to the maximum amplitude can match the test frequency generated by the fiber clamping device, so the frequency corresponding to the maximum amplitude is taken as the to-be-analyzed frequency corresponding to the current data, and the to-be-analyzed frequency is analyzed in the subsequent steps to obtain the to-be-analyzed frequency belonging to the same optical path.

[0112] For example, Figure 6 For example, Figure 2 The fast Fourier transform frequency diagram of the current data of the to-be-analyzed fiber position a generated by fast Fourier transform is as follows: Figure 7 For example, Figure 3 The fast Fourier transform frequency diagram of the current data of the to-be-analyzed fiber position b generated by fast Fourier transform is as follows: Figure 8 For example, Figure 4 The fast Fourier transform frequency diagram of the current data of the to-be-analyzed fiber position c generated by fast Fourier transform is as follows. Wherein Figure 6 , Figure 7 , Figure 8One of the horizontal lines in the y-axis is the amplitude threshold value obtained by the above formula, and in Figure 6 、 Figure 7 、 Figure 8 The maximum amplitude corresponding to the analyzed frequency is shown in the x-axis.

[0113] S300, frequency matching analysis is performed on the analyzed frequency, and several analyzed frequencies that are mutually matched in frequency are obtained as target frequencies;

[0114] In this embodiment, several fiber clamping devices are used to clamp several corresponding analyzed fiber positions, and several current data are obtained, each of which obtains a corresponding analyzed frequency. It can be understood that if multiple analyzed fiber positions belong to the same optical path, the analyzed frequencies extracted from the corresponding current data of the multiple analyzed fiber positions are similar within a certain error range. Therefore, it is necessary to find multiple analyzed frequencies that are mutually matched in frequency, and multiple analyzed frequencies that meet the predetermined conditions are used as target frequencies.

[0115] Specifically, as shown in Figure 9 In one embodiment, the frequency matching analysis of the analyzed frequency to obtain several analyzed frequencies that are mutually matched in frequency as target frequencies can include the following steps:

[0116] S311, obtaining a test frequency, wherein the test frequency is obtained in the fiber clamping device;

[0117] In this embodiment, the fiber clamping device clamps the measured optical fiber, and selects a corresponding test frequency in the fiber clamping device. By obtaining the corresponding test frequency clamped by the fiber clamping device, the frequency leakage characteristics of the measured optical fiber at that time can be obtained, which provides a data basis for subsequently finding node position information belonging to the same optical path as the measured optical fiber.

[0118] S312, presetting a matching interval based on the test frequency;

[0119] S313, obtaining an analyzed frequency falling into the matching interval, and using the analyzed frequency falling into the matching interval as a target frequency.

[0120] In this embodiment, based on the test frequency, a matching interval is preset within a frequency range that allows error floating. The analyzed frequencies that are strongly related to the test frequency and strongly related to each other can be found under the interference of background noise and other irrelevant frequency components, and the analyzed frequencies falling into the matching interval are used as target frequencies, thereby improving the accuracy of extracting target frequencies.

[0121] For example, the obtained test frequency is 6Hz, and the set matching interval is [6Hz, 7Hz]. As shown inFigure 6 The frequency to be analyzed at position a of the fiber to be analyzed ,like Figure 7 The frequency to be analyzed at position b of the optical fiber ,like Figure 8 The frequency to be analyzed at position c of the fiber to be analyzed Based on the determination, the frequencies to be analyzed at fiber positions a, b, and c all fall within the matching interval, therefore... , , As the target frequency.

[0122] Specifically, such as Figure 10 As shown, in another embodiment, performing frequency matching analysis on the frequency to be analyzed to obtain several frequencies that match each other as target frequencies may include the following steps:

[0123] S321, Preset frequency band range;

[0124] In this embodiment, a corresponding frequency band range can be pre-defined based on the optical fiber transmission characteristics, environmental noise distribution, or historical data experience values, providing a structured framework for classifying the frequency of the optical fiber under test.

[0125] S322. Classify the frequencies to be analyzed that fall within the same frequency band interval into the same matching frequency class;

[0126] S323. The frequencies to be analyzed that belong to the same matching frequency class are taken as target frequencies.

[0127] In this embodiment, frequencies to be analyzed that fall within the same frequency band are classified into matched frequency classes, which can effectively reduce the impact of random fluctuations or noise interference at a single frequency point on the analysis results. At the same time, the frequency clustering characteristics are used to enhance the significance of signal features, thereby improving the robustness of the analysis of the frequencies to be analyzed.

[0128] Preferably, several frequency bands of different frequency bands can be set, and the frequencies to be analyzed that fall into the same frequency band interval can be classified into matching frequency classes. Each matching frequency class can correspond to an optical path, thereby realizing the simultaneous classification and positioning of node position information corresponding to multiple optical paths and improving the efficiency of fiber-to-fiber.

[0129] For example, the preset first frequency band range is [6Hz, 7Hz], and the second frequency band range is [12Hz, 13Hz]. Figure 6 The frequency to be analyzed at position a of the fiber to be analyzed ,like Figure 7 The frequency to be analyzed at position b of the optical fiber ,like Figure 8 The frequency to be analyzed at position c of the fiber to be analyzed By judging that the to-be-analyzed frequencies of the to-be-analyzed fiber positions a, b and c all fall into the first frequency band interval, the to-be-analyzed frequencies are classified into the first matching frequency class, and the to-be-analyzed frequencies in the first matching frequency class are taken as the target frequencies belonging to the first frequency band interval. 、 、 、 、 Similarly, the to-be-analyzed frequencies falling into the second frequency band interval can be classified into the second matching frequency class, and the to-be-analyzed frequencies in the second matching frequency class are taken as the target frequencies belonging to the second frequency band interval.

[0130] Preferably, as shown in Figure 11 , in a new embodiment, the frequency matching analysis on the to-be-analyzed frequencies to obtain a plurality of to-be-analyzed frequencies matching each other as target frequencies can include the following steps:

[0131] S331, obtaining the difference between each two to-be-analyzed frequencies, and if the difference is less than or equal to a preset classification threshold, determining that the corresponding two to-be-analyzed frequencies belong to the same class, and obtaining a plurality of to-be-analyzed frequency classes.

[0132] In this embodiment, because the to-be-analyzed frequencies corresponding to the plurality of to-be-analyzed fiber positions belonging to the same optical path are close within a certain error range, it is necessary to preset a classification threshold. When the difference between each two to-be-analyzed frequencies is less than or equal to the preset classification threshold, it is indicated that the two to-be-analyzed frequencies are close within a certain error range, and thus they are classified into one to-be-analyzed frequency class. It can be understood that in actual operation, the optical power data can be disturbed by noise, or the clamped to-be-analyzed fiber position does not belong to the to-be-measured fiber, so that the difference between the obtained to-be-analyzed frequency and the to-be-analyzed frequency belonging to the to-be-measured fiber exceeds the classification amplitude, and thus it cannot be classified into the same to-be-analyzed frequency class, but is classified into a class alone or with other similar to-be-analyzed frequencies. After the classification processing is completed, a plurality of to-be-analyzed frequency classes can be obtained.

[0133] Exemplarily, as shown in Figure 6 , the to-be-analyzed frequency of the to-be-analyzed fiber position a , as shown in Figure 7 , the to-be-analyzed frequency of the to-be-analyzed fiber position b , as shown in Figure 8 , the to-be-analyzed frequency of the to-be-analyzed fiber position c By the preset classification threshold, it is determined that the to-be-analyzed frequencies between each two to-be-analyzed fiber positions a, b and c are all less than or equal to the classification threshold, and thus 、 ,​ Classify into the same frequency class to be analyzed.

[0134] S332, de-noise the several frequency classes to be analyzed to obtain matching frequency classes;

[0135] In this embodiment, there are also some noise data in the several frequency classes to be analyzed that have not been removed in the above steps. In order to improve the reliability of the data, the frequency to be analyzed needs to be de-noised again to ensure that accurate frequency to be analyzed can be obtained.

[0136] Specifically, the de-noising of the several frequency classes to be analyzed to obtain the matching frequency classes comprises:

[0137] If each frequency to be analyzed in the frequency class to be analyzed is greater than a preset lower frequency threshold, the frequency class to be analyzed is taken as the matching frequency class.

[0138] In the above classification process, frequency noise frequencies close to each other may be confused in the same class of frequency to be analyzed. When there are multiple frequency classes to be analyzed, it may be difficult to determine the data that truly needs to be analyzed. However, considering that the noise frequency is generally small, a lower frequency threshold is set to distinguish the frequency to be analyzed from the noise frequency. When each frequency to be analyzed in the frequency class to be analyzed is greater than the preset lower frequency threshold, it is proved that each frequency to be analyzed in the frequency class to be analyzed is not a noise frequency, and the frequency class to be analyzed is taken as the matching frequency class.

[0139] It can be understood that in a new implementation, the de-noising process can also be completed before the classification of the frequency to be analyzed: several frequencies to be analyzed greater than the lower frequency threshold are classified, and frequencies not exceeding the lower frequency threshold are removed, which also has the effect of de-noising.

[0140] S333, taking the frequency to be analyzed in the matching frequency class as several target frequencies that match each other.

[0141] S400, obtaining node position information corresponding to each target frequency, and classifying each node position information into the same optical path.

[0142] Preferably, the obtaining of the node position information corresponding to each target frequency and the classification of each node position information into the same optical path comprises:

[0143] determining whether the frequency difference between each target frequency and a test frequency is less than a preset error threshold, and if so, taking the target frequency corresponding to the frequency difference as a final target frequency; wherein the test frequency is obtained from a fiber clamping device;

[0144] Obtain the node location information corresponding to the final target frequency, and group all the node location information into the same optical path.

[0145] In this embodiment, the fiber clamping device, held at one end of the fiber under test, can adjust its opening and closing amplitude according to a pre-selected test frequency, thereby generating vibration in the fiber under test based on the test frequency. The test frequency corresponding to the clamping of the fiber clamping device can be recorded, and this test frequency can be used as verification data to further verify the target frequency. It is understood that noise interference is unavoidable during fiber transmission. Therefore, a preset error threshold is required. If the frequency difference between the target frequency and the test frequency is less than the preset error threshold, it indicates that the target frequency and the test frequency are close, and the target frequency can match the test frequency of the clamping device. This allows it to be determined that the node position information corresponding to the target frequency belongs to the fiber under test. By performing the above judgment and verification on multiple target frequencies, the node position information corresponding to all verified target frequencies is grouped into the same optical path.

[0146] It is understood that if the frequency difference is greater than the preset error threshold, the target frequency corresponding to the frequency difference is determined to be an interference frequency; wherein the node location information corresponding to the interference frequency is subject to noise interference, and / or the optical fiber to which the node location information corresponding to the interference frequency belongs does not have fiber clamping behavior.

[0147] In this embodiment, during the verification judgment, if the frequency difference between the target frequency and the test frequency is greater than the preset error threshold, two situations may occur: First, the fiber optic position to be analyzed is subject to noise interference, including non-human noise interference in the environment and / or human error interference. The noise interference at these fiber optic positions to be analyzed is already greater than the allowable error range. Therefore, it is necessary to manually eliminate the noise interference and then perform the fiber alignment work of the above method on these fiber optic positions to be analyzed again, so as to obtain more accurate frequency data and improve the accuracy of fiber alignment.

[0148] Secondly, it should be noted that the frequencies corresponding to these fiber locations may not match the test frequency generated by the clamping device at one end of the fiber under test. This could be due to accidental contact or other significant noise interference from other fibers, resulting in corresponding interference frequencies being collected at several fiber locations downstream of the fiber under test. Since the target frequencies corresponding to these fiber locations do not match the test frequency of the fiber under test, it is necessary to ensure that these fiber locations do not belong to the same optical path as the fiber under test.

[0149] Example 2

[0150] like Figure 12 As shown, Embodiment 2 of this application provides an optical fiber-to-fiber system. Optionally, the system includes:

[0151] The current data acquisition module 511, the to-be-analyzed frequency acquisition module 512, the target frequency acquisition module 513, and the node position information acquisition module 514, wherein:

[0152] The current data acquisition module 511 is configured to acquire current data of a plurality of to-be-analyzed fiber positions; wherein the current data is acquired by photoelectric conversion of optical power data collected by a fiber device clamped at the to-be-analyzed fiber position.

[0153] In this embodiment, the current data acquisition module 511 can be configured to perform Figure 1 The specific description of the current data acquisition module 511 can refer to the description of step S100.

[0154] The to-be-analyzed frequency acquisition module 512 is configured to process the current data respectively to obtain corresponding frequency data, acquire a corresponding amplitude threshold value according to the frequency data, and extract a to-be-analyzed frequency in each current data according to the corresponding amplitude threshold value.

[0155] In this embodiment, the to-be-analyzed frequency acquisition module 512 can be configured to perform Figure 1 The specific description of the to-be-analyzed frequency acquisition module 512 can refer to the description of step S200.

[0156] The target frequency acquisition module 513 is configured to perform frequency matching analysis on the to-be-analyzed frequency, and acquire a plurality of to-be-analyzed frequencies that are mutually matched in frequency as target frequencies.

[0157] In this embodiment, the target frequency acquisition module 513 can be configured to perform Figure 1 The specific description of the target frequency acquisition module 513 can refer to the description of step S300.

[0158] The node position information acquisition module 514 is configured to acquire node position information corresponding to each target frequency, and classify each node position information into the same optical path.

[0159] In this embodiment, the node position information acquisition module 514 can be configured to perform Figure 1 The specific description of the node position information acquisition module 514 can refer to the description of step S400.

[0160] Embodiment 3

[0161] Embodiment 3 of the present application provides an optical fiber clamping system. Optionally, the system comprises:

[0162] A fiber clamping device is used to clamp a fiber to be tested and apply a preset test frequency vibration to the fiber to be tested.

[0163] A plurality of fiber clamping devices, specifically comprising:

[0164] A clamping module is used to clamp a fiber to be analyzed at a position;

[0165] An optical power data acquisition module is used to acquire optical power data corresponding to the position of the fiber to be analyzed;

[0166] An optical-to-electrical conversion module is used to perform optical-to-electrical conversion on the optical power data to obtain corresponding current data;

[0167] A frequency data acquisition module is used to process the current data to obtain corresponding frequency data;

[0168] An extraction module is used to obtain an amplitude threshold value according to the frequency data and extract a frequency to be analyzed in the current data according to the amplitude threshold value.

[0169] In a specific embodiment, the frequency data acquisition module is specifically used to:

[0170] Divide the current data based on a preset length of a data window to obtain current data segments;

[0171] Perform fast Fourier transform processing on the current data segments to obtain frequency data.

[0172] In a specific embodiment, the extraction module is specifically used to:

[0173] Obtain positive frequency data in the frequency data;

[0174] Obtain an amplitude threshold value according to the positive frequency data; specifically, obtain a mean value and a variance of amplitudes in the positive frequency data according to the positive frequency data; and obtain the amplitude threshold value based on the mean value and the variance;

[0175] Obtain a plurality of matching amplitudes in the positive frequency data, which are greater than the amplitude threshold value, according to the positive frequency data;

[0176] Obtain a maximum amplitude in the matching amplitudes, and take a frequency corresponding to the maximum amplitude as a frequency to be analyzed in the current data.

[0177] A signal processing device, specifically comprising:

[0178] A receiving module is used to receive the frequencies to be analyzed sent by a plurality of fiber clamping devices;

[0179] An analysis module is configured to perform frequency matching analysis on the to-be-analyzed frequencies, and obtain a plurality of to-be-analyzed frequencies that are mutually matched in frequency as target frequencies.

[0180] A light path determination module is configured to obtain node position information corresponding to each of the target frequencies, and group the node position information as a light path of the to-be-tested optical fiber.

[0181] In a specific embodiment, the analysis module is specifically configured to:

[0182] Obtain a test frequency, wherein the test frequency is obtained in a fiber clamping device.

[0183] Predefine a matching interval based on the test frequency.

[0184] Obtain to-be-analyzed frequencies falling within the matching interval, and take the to-be-analyzed frequencies falling within the matching interval as target frequencies.

[0185] In a new embodiment, the analysis module is specifically configured to:

[0186] Predefine a frequency band interval.

[0187] Group to-be-analyzed frequencies falling within the same frequency band interval as a same matching frequency class.

[0188] Take to-be-analyzed frequencies belonging to the same matching frequency class as target frequencies.

[0189] Obviously, the above embodiments of the present application are merely examples for clearly illustrating the technical solutions of the present application, and are not intended to limit the specific embodiments of the present application. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A fiber-to-fiber method, characterized by, The method comprises: obtaining current data of a plurality of to-be-analyzed fiber positions in a to-be-tested fiber; wherein one of the to-be-tested fiber positions holds a fiber-holding device for generating vibration on the to-be-tested fiber, and the current data is obtained by photoelectric conversion of optical power data collected by the fiber-holding device held at the to-be-analyzed fiber position; processing the current data respectively to obtain corresponding frequency data, obtaining corresponding amplitude threshold values according to the frequency data, and extracting to-be-analyzed frequencies in each of the current data according to the corresponding amplitude threshold values; presetting a frequency band interval, grouping to-be-analyzed frequencies falling into the same frequency band interval into the same matching frequency class, and taking to-be-analyzed frequencies belonging to the same matching frequency class as target frequencies; obtaining node position information corresponding to each of the target frequencies, and grouping each of the node position information into the same optical path.

2. The method of claim 1, wherein, The processing of the current data respectively to obtain corresponding frequency data comprises: dividing the current data based on a preset length of a data window to obtain current data segments; performing fast Fourier transform processing on the current data segments to obtain frequency data.

3. The method of claim 1, wherein, The obtaining of corresponding amplitude threshold values according to the frequency data and the extraction of to-be-analyzed frequencies in each of the current data according to the corresponding amplitude threshold values comprise: obtaining positive frequency data in the frequency data; obtaining amplitude threshold values according to the positive frequency data; obtaining a plurality of matching amplitudes in the positive frequency data whose amplitudes are greater than the amplitude threshold values according to the positive frequency data; obtaining a maximum amplitude in the plurality of matching amplitudes, and taking a frequency corresponding to the maximum amplitude as a to-be-analyzed frequency of the current data.

4. The method of claim 3, wherein, The obtaining of amplitude threshold values according to the positive frequency data comprises: calculating a mean value and a variance of amplitudes in the positive frequency data according to the positive frequency data; obtaining the amplitude threshold values based on the mean value and the variance.

5. A fiber-to-fiber method, characterized by, The method comprises: obtaining current data of a plurality of to-be-analyzed fiber positions in a to-be-tested fiber; wherein one of the to-be-tested fiber positions holds a fiber-holding device for generating vibration on the to-be-tested fiber, and the current data is obtained by photoelectric conversion of optical power data collected by the fiber-holding device held at the to-be-analyzed fiber position; processing the current data respectively to obtain corresponding frequency data, obtaining corresponding amplitude threshold values according to the frequency data, and extracting to-be-analyzed frequencies in each of the current data according to the corresponding amplitude threshold values; obtaining a test frequency, wherein the test frequency is obtained in the fiber-holding device; presetting a matching interval based on the test frequency; obtaining to-be-analyzed frequencies falling into the matching interval, and taking to-be-analyzed frequencies falling into the matching interval as target frequencies; obtaining node position information corresponding to each of the target frequencies, and grouping each of the node position information into the same optical path.

6. The method of claim 5, wherein, The processing of the current data respectively to obtain corresponding frequency data comprises: dividing the current data based on a preset length of a data window to obtain current data segments; performing fast Fourier transform processing on the current data segments to obtain frequency data.

7. The method of claim 5, wherein, The method comprises the following steps: obtaining positive frequency data from the frequency data; obtaining an amplitude threshold value from the positive frequency data; obtaining a plurality of matching amplitudes from the positive frequency data, wherein the matching amplitudes are greater than the amplitude threshold value; obtaining a maximum amplitude from the plurality of matching amplitudes, and taking a frequency corresponding to the maximum amplitude as an analysis frequency of the current data.

8. The method of claim 7, wherein, The method comprises the following steps: obtaining a mean value and a variance of the amplitudes in the positive frequency data; obtaining the amplitude threshold value based on the mean value and the variance.

9. An optical fiber pair system, characterized by The system comprises: a current data acquisition module configured to acquire current data of a plurality of to-be-analyzed fiber positions in a to-be-tested fiber; wherein one of the to-be-tested fiber positions clamps a fiber clamping device configured to generate vibration on the to-be-tested fiber, and the current data is acquired by photoelectric conversion of optical power data collected by a fiber clamping device clamped at the to-be-analyzed fiber position; a to-be-analyzed frequency acquisition module configured to process the current data to obtain corresponding frequency data, obtain an amplitude threshold value from the frequency data, and extract an analysis frequency from each of the current data according to the amplitude threshold value; a target frequency acquisition module configured to preset a frequency band interval, classify to-be-analyzed frequencies falling into the same frequency band interval into the same matching frequency class, and take to-be-analyzed frequencies belonging to the same matching frequency class as target frequencies; a node position information acquisition module configured to obtain node position information corresponding to each of the target frequencies, and classify the node position information into the same optical path.

10. An optical fiber pair system, characterized by The system comprises: a fiber clamping device configured to clamp a to-be-tested fiber and apply vibration of a preset test frequency to the to-be-tested fiber; a plurality of fiber clamping devices, which specifically comprise: a clamping module configured to clamp a to-be-analyzed fiber position; an optical power data acquisition module configured to acquire optical power data corresponding to the to-be-analyzed fiber position; a photoelectric conversion module configured to perform photoelectric conversion on the optical power data to acquire corresponding current data; a frequency data acquisition module configured to process the current data to obtain corresponding frequency data; an extraction module configured to obtain an amplitude threshold value from the frequency data, and extract an analysis frequency from the current data according to the amplitude threshold value; a signal processing device, which specifically comprises: a receiving module configured to receive the to-be-analyzed frequencies sent by a plurality of fiber clamping devices; an analysis module configured to preset a frequency band interval, classify to-be-analyzed frequencies falling into the same frequency band interval into the same matching frequency class, and take to-be-analyzed frequencies belonging to the same matching frequency class as target frequencies; an optical path determination module configured to obtain node position information corresponding to each of the target frequencies, and classify the node position information into an optical path of the to-be-tested fiber.

11. The system of claim 10, wherein, The frequency data acquisition module of the fiber clamping device is specifically configured to: The current data is divided into current data segments based on a preset length data window; The current data segments are subjected to fast Fourier transform processing to obtain frequency data.

12. The system of claim 10, wherein, The extraction module of the fiber device is specifically used for: Obtaining positive frequency data in the frequency data; Obtaining an amplitude threshold value according to the positive frequency data; Obtaining a plurality of matching amplitudes greater than the amplitude threshold value in the positive frequency data according to the positive frequency data; Obtaining a maximum amplitude in the plurality of matching amplitudes, and taking a frequency corresponding to the maximum amplitude as a to-be-analyzed frequency of the current data.

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