A quick positioning system for optical cable and method thereof

Abstract

The present application relates to the field of optical fiber acoustic wave sensing positioning, in particular to a kind of optical cable quick positioning system and method thereof, the positioning system does not depend on real-time network communication, even in the environment without communication network can also operate stably, show obvious advantage, by playing the characteristic acoustic wave of specified frequency component, can effectively reduce the interference of environmental noise, significantly improve the accuracy of positioning, even in noisy environment, can also be filtered out by applying high intensity characteristic signal, the noise interference of non-target frequency band, ensure the accuracy of positioning result, by using the hybrid architecture of offline acquisition-online processing, significantly improve the environmental adaptability and automated data processing capacity of system, greatly reduce the complexity and potential error rate of manual operation, solve the problems existing in the current optical cable positioning system and method, such as relying on GPS positioning, relying on real-time communication network, being easily influenced by subjective judgment, low computational efficiency of all point position analysis and too many participants.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of optical fiber acoustic wave sensing positioning, and in particular to a rapid optical cable positioning system and method thereof. BACKGROUND

[0002] Optical cable is a cable assembly that uses one or more optical fibers placed in a protective sheath as a signal transmission medium and can be used individually or in groups. In current optical fiber acoustic wave sensing applications, optical cable serves as the main signal transmission medium and sensing unit, enabling distributed measurement of external parameters of the optical fiber. Therefore, it is important to accurately position the optical cable.

[0003] However, traditional optical cable positioning methods mainly rely on dynamic optical fiber detection and manual analysis of signal records, which have the following defects in the positioning process: (1) GPS positioning: requires GPS to obtain the current position of the acoustic wave generator in a network environment, making it unsuitable for extreme network-free environments such as underground tunnels; (2) real-time communication: the cable inspection personnel and the industrial computer need to communicate in real time, increasing the complexity of the system and the risk of potential communication failures; (3) subjective judgment: manual analysis of signal records is easily influenced by subjective judgment, leading to inaccurate positioning results; (4) low efficiency and accuracy: relying on manual analysis of signal records and subjective judgment, the positioning process takes too long, reducing both the efficiency and accuracy of the positioning; (5) excessive number of participants: the positioning process requires a large number of participants, resulting in high labor costs; (6) low computational efficiency caused by full-point analysis: existing technologies typically use full-point analysis for optical cable vibration positioning, which requires complete signal processing of all sampling points (usually hundreds of points) on the optical cable, including FFT transformation, spectral analysis, and other computationally intensive operations. This method results in high system computational load and high power consumption, especially in real-time monitoring scenarios, where the waste of computational resources is more prominent.

[0004] Therefore, the present application aims to provide a rapid positioning system and method based on spectral analysis. On the basis of hierarchical detection, the combination of fast coarse detection and fine analysis ensures positioning accuracy while improving computational efficiency. This ensures that the positioning system can operate efficiently even in extreme conditions without communication network coverage. SUMMARY

[0005] The present application aims to provide a rapid positioning system and method based on spectral analysis. On the basis of hierarchical detection, the combination of fast coarse detection and fine analysis ensures positioning accuracy while improving computational efficiency. This ensures that the positioning system can operate efficiently even in extreme conditions without communication network coverage.

[0006] To achieve the above objectives, in a first aspect, the present invention provides a system for rapid optical cable positioning, comprising a general-purpose computer, a DAS detector, an optical cable, an acoustic wave generator, and a portable computing device, wherein the general-purpose computer and the DAS detector are connected via a network cable, the DAS detector is connected to the optical cable, the acoustic wave generator and the portable computing device are connected via Bluetooth, and the acoustic wave generator is placed at the position of the optical cable to be measured;

[0007] The general-purpose computer is used to receive the position number, calculate the spectrum information, identify the characteristic signal point and send the completion instruction function;

[0008] The sound wave generator is used to play a vibration sound wave with a preset frequency characteristic, and the signal is a single-frequency signal, a multi-frequency mixed signal, a frequency-modulated signal or other signal with a characteristic frequency component;

[0009] The optical cable is used to detect and receive the vibration sound waves played by the sound wave generator;

[0010] The DAS detector is used to collect differential phase data in the vibration sound waves propagated by the optical cable;

[0011] The portable computing device is used to provide a user interface, and performs timestamp recording and roller number input functions on the user interface. It has an offline data storage function, which can complete data collection in an offline environment and upload data after returning to an area with a network;

[0012] The automatic processing and acquisition module continuously collects vibration data from all monitoring points within a preset time period, records the timestamp of each acquisition, and automatically processes the collected data through the positioning algorithm.

[0013] In a second aspect, the present invention further provides a method for quickly locating an optical cable, comprising the following steps:

[0014] Generate a sound signal, using software on a portable computing device to generate an audio signal with a specified frequency component, wherein the signal is a single-frequency signal, a multi-frequency mixed signal, a frequency-modulated signal, or other signal with a characteristic frequency component;

[0015] Playing and recording an audio signal, connecting an acoustic wave generator to the portable computing device, placing the acoustic wave generator at a pre-planned optical cable test location, playing the audio signal through the acoustic wave generator, and recording a unique number of the current playback location;

[0016] DAS receives and collects audio signals, continuously collects vibration data from all monitoring points within a preset time period through the DAS detector, and records the timestamp of each collection. After the collection is completed, the collected data is transmitted to the general computer in real time;

[0017] Signal preprocessing, filtering all the vibration data collected by the DAS detector at all points;

[0018] Energy and spectrum analysis, fast Fourier transform processing of the vibration signal of each point after preprocessing, according to the type of the played sound wave signal, identifying and outputting the characteristic value of the maximum spectrum of the sound wave signal,

[0019] Signal positioning calculation, extracting the maximum frequency characteristic value of each point in the target frequency band in the collection window, identifying the point with the maximum spectrum characteristic value as the estimated position of the sound source;

[0020] Timestamp matching, comparing the audio time identified by the DAS detector with the playback timestamp recorded by the portable computing device, calculating the time difference, if the time difference is within the allowed error range, confirming that the matching is successful, if the time difference exceeds the allowed range, triggering a warning and requiring manual post-review;

[0021] Output positioning results, generate and display the positioning result table on the user interface of the general-purpose computer.

[0022] Among them, the specific way of generating an audio signal with a specified frequency component by using the software on the portable computing device is:

[0023] Generating a specified frequency signal, using the software on the portable computing device to generate a high-frequency audio signal with a waveform and a frequency, wherein the selection of the waveform and the frequency of the audio signal should consider the sensitivity range of the DAS detector and the noise situation of the on-site environment, to ensure that the audio signal is easy to identify and extract during the collection process;

[0024] Set the playback duration to ensure that the audio signal has a duration within the collection window of the DAS detector, so as to perform subsequent signal processing and analysis;

[0025] Ensure signal quality, the generated audio signal should have good signal-to-noise ratio and stability, avoid introducing additional noise interference, to improve the positioning accuracy.

[0026] Among them, the specific way of playing and recording the audio signal is to connect the sound wave generator with the portable computing device, and then place the sound wave generator at the pre-planned cable to be tested position, play the audio signal through the sound wave generator, and record the unique number of the current playback position.

[0027] Bluetooth connection, through Bluetooth protocol, high-quality sound wave generator and portable computing device are paired and connected, and ensure that the audio signal can be transmitted to the sound wave generator stably and high quality;

[0028] Sound wave generator placement, a positioning person places the sound wave generator at a pre-planned cable to be tested position, and the placement distance should be appropriate to ensure that the audio signal can generate a high signal-to-noise ratio vibration response on the optical cable;

[0029] One-key operation, performing one-key operation using the software of the portable computing device, while triggering subsequent actions;

[0030] Playing audio, playing the audio signal through the sound wave generator;

[0031] Recording time stamp, recording the exact time stamp of the start of playing in the format of "YYYY-MM-DD HH:MM:SS", and the time stamp is accurate to seconds;

[0032] Recording position number, recording the unique number of the current playing position to identify different positioning positions.

[0033] Among them, the frequency domain analysis adopts a multi-scale detection mechanism based on a hierarchical strategy, specifically including:

[0034] The first layer coarse detection stage implements a fast energy threshold detection algorithm on all monitoring points, efficiently identifies candidate regions with target signal characteristics by calculating signal energy distribution characteristics, and significantly reduces the computational complexity of subsequent processing;

[0035] The second layer fine analysis stage specifically implements high-precision spectrum analysis on the candidate region, including using long window FFT transformation to obtain higher frequency resolution, and combining an adaptive peak detection algorithm for signal feature extraction, effectively improving the positioning accuracy and reliability of the target signal.

[0036] Among them, in the network coverage area, through the portable computing device, the time stamp of each vibration event and the number of the position to be tested are collected, and the collected data are stored in a specific data structure using a data caching algorithm, the data including high-precision time synchronization information of the second-level time stamp and accurate position number information;

[0037] When the system returns to the network coverage area, the portable computing device transmits the stored data to the general-purpose computer in a complete and reliable manner through an intelligent data synchronization protocol;

[0038] The general-purpose computer then starts a post-processing algorithm chain, sequentially performs data integrity verification, spectrum feature value extraction, and intelligent positioning calculation, and through the hybrid architecture of offline collection-online processing and the strict data synchronization mechanism, ensures that the positioning accuracy is not reduced due to the offline working mode.

[0039] The DAS receives and collects audio signals, continuously collects vibration data of all monitoring points within a preset time length through the DAS detector, and automatically records the time stamp of each collection. After collection, the collected data is transmitted to the general-purpose computer in real time in the following specific manner:

[0040] DAS data collection, the DAS detector continuously collects vibration data of all monitoring points within a preset time length through a high-precision acquisition card at a sampling rate, and records the time stamp of each collection to facilitate subsequent accurate matching with the time stamp of the vibration event recorded on the portable computing device. The sampling rate should meet the Nyquist sampling theorem to ensure that the target frequency signal can be accurately captured.

[0041] Data transmission, the DAS detector transmits the collected raw data to the general-purpose computer in real time to ensure data integrity and timeliness, avoiding data loss or delay.

[0042] The signal preprocessing, the specific manner of filtering the vibration data of all points collected by the DAS detector is:

[0043] High-pass filtering, a high-pass filter is applied to remove low-frequency environmental noise, improve signal-to-noise ratio, and adjust the selection of cutoff frequency according to the noise situation on site;

[0044] Windowing, applying a window function to reduce spectral leakage effects and improve the accuracy of spectral analysis.

[0045] The frequency spectrum analysis, the specific manner of energy calculation and fast Fourier transform of the vibration signal of each point after preprocessing, and outputting the maximum spectral characteristic value after peak identification is:

[0046] Fast Fourier transform, fast Fourier transform processing is performed on the vibration signal of each point after preprocessing;

[0047] Selecting the number of fast Fourier transform points, selecting an appropriate number of fast Fourier transform points to obtain frequency resolution and ensure accurate identification of target frequency peaks;

[0048] Peak identification, identifying the peak value in the target frequency band to obtain the maximum spectral characteristic value;

[0049] Recording peak information, recording the amplitude and corresponding frequency of the maximum spectral characteristic value for subsequent positioning calculation;

[0050] Output the maximum spectral characteristic value, for each point, output the maximum spectral characteristic value in the target frequency band as the representative feature of the point.

[0051] The frequency domain analysis adopts a hierarchical detection strategy, including a coarse detection step of performing fast energy detection on all monitoring points to identify candidate regions where target signals may exist, and a fine analysis step of performing detailed spectrum analysis on the points in the candidate regions, including Fourier transform using a long FFT point number and spectrum feature value detection.

[0052] The optical cable rapid positioning system and method of the present application can operate stably without real-time network communication, even in an environment without communication network, and has obvious advantages. Meanwhile, by playing sound waves of specified frequency components, the present application can effectively avoid the interference of environmental noise and significantly improve the accuracy of positioning. Even in a noisy environment, such as the occasion when a belt conveyor is started, the present application can filter out the noise of non-target frequency band by applying a high-intensity characteristic signal, thereby ensuring the accuracy of the positioning result. The present application innovatively adopts a hierarchical detection strategy, first positioning the region where vibration may exist through fast coarse detection, and then performing fine analysis on the candidate region, thereby significantly reducing the calculation amount. Based on this, the method significantly improves the system operation efficiency while maintaining the positioning accuracy. In addition, the positioning algorithm used by the positioning system can automatically process the collected data, significantly reducing the complexity and potential error rate of manual operation, and solving the problems of existing optical cable positioning systems and methods, such as dependence on GPS positioning, real-time communication dependence, subjective judgment influence, low calculation efficiency of full-point analysis, and too many participants. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows.

[0054] Figure 1 is the device connection diagram of the optical cable rapid positioning system of the first embodiment of the present application.

[0055] Figure 2 is the recording interface diagram of the software on the portable computing device of the first embodiment of the present application.

[0056] Figure 3 is the positioning flowchart of the optical cable rapid positioning method of the second embodiment of the present application.

[0057] Figure 4 is the spectrum feature peak value distribution diagram of different points of the second embodiment of the present application.

[0058] Figure 5 is the flowchart of the optical cable rapid positioning method of the second embodiment of the present application. DETAILED DESCRIPTION

[0059] Embodiments of the present application are described in detail below with reference to the attached drawings, which are examples of embodiments of the present application, and the embodiments described below are exemplary and are intended to explain the present application, and are not to be understood as limiting the present application.

[0060] First embodiment:

[0061] Please refer to Figure 1 and Figure 2 The present application provides a kind of optical cable quick positioning system, including general-purpose computer, DAS detector, optical cable, sound wave generator and portable computing device.

[0062] In this embodiment, the positioning system adopted by the present application does not need real-time network communication, and can operate stably even in the environment without communication network, showing obvious advantages, at the same time, by playing the sound wave of specified frequency, the present application can effectively avoid the interference of environmental noise, significantly improve the accuracy of positioning. Even in noisy environment, such as the occasion of starting belt machine, the present application can filter out the noise of non-target frequency by applying high-intensity characteristic signal, so as to ensure the accuracy of positioning result, in addition, the positioning algorithm adopted by the positioning system can automatically process the collected data, greatly reducing the complexity and potential error rate of manual operation, solving the technical problems of existing optical cable positioning system and method, such as dependence on GPS positioning, real-time communication dependence, subjective judgment influence, low calculation efficiency of all point analysis and too many participants.

[0063] Among them, the general-purpose computer and the DAS detector are connected by network cable, the DAS detector is connected with the optical cable, the sound wave generator and the portable computing device are connected by Bluetooth, and the sound wave generator is placed at the predetermined position of the optical cable to be measured;

[0064] The general-purpose computer is used for receiving position number, calculating frequency domain characteristic information, identifying characteristic signal point and sending completion instruction function;

[0065] The sound wave generator is used for playing vibration sound wave of specified waveform and frequency, and the signal is single frequency signal, multi-frequency mixed signal, frequency modulation signal or other signal with characteristic frequency component;

[0066] The optical cable is used for detecting and receiving the vibration sound wave played by the sound wave generator;

[0067] The DAS detector is used for collecting differential phase data in the vibration sound wave propagated by the optical cable;

[0068] The portable computing device is used to provide a user interaction interface, and the user interaction interface has a timestamp recording and roller number input function, has an offline data storage function, can complete data acquisition in a network-free environment, and performs data uploading after returning to a network area;

[0069] The automatic processing acquisition module continuously acquires vibration data of all monitoring points in a preset time length, and automatically records a timestamp of each acquisition, and automatically processes the acquired data through a positioning algorithm.

[0070] When the optical cable rapid positioning system is used, the worker places the sound wave generator at the to-be-measured position of the optical cable, and records the current position number, then the general-purpose computer starts the positioning program after receiving the position number, and makes the sound wave generator play the audio signal generated by the portable computing device, so that the optical cable transmits the audio signal to the DAS detector, the cable laying mode suitable for the optical cable includes straight pulling or coiling, so that the DAS detector can continuously acquire vibration data of all monitoring points in a preset time length, and automatically record a timestamp of each acquisition, and after the acquisition is completed, the acquired data is transmitted to the general-purpose computer in real time. If there is no network environment coverage during the acquisition and positioning data process, the portable computing device stores the accurate timestamp and position identification information through a special data caching algorithm, when the system returns to a network coverage area, the portable computing device transmits all offline acquired data to the general-purpose computer in a complete and reliable manner through an intelligent data synchronization protocol. Then, the general-purpose computer subsequently starts a post-processing algorithm chain, sequentially performs data integrity verification, acquires the maximum spectral feature value position of the characteristic sound signal played by the sound wave generator on the optical cable, and finally completes positioning.

[0071] The whole positioning process does not need real-time network communication, and can operate stably even in an environment without communication network, which shows obvious advantages. The hybrid architecture of offline collection and online processing significantly improves the environmental adaptability of the system, and ensures the positioning accuracy by strict data synchronization mechanism. Meanwhile, by playing the sound wave of specified frequency component, the application can effectively avoid the interference of environmental noise, and significantly improve the positioning accuracy. Even in a noisy environment, such as the occasion of starting the belt machine, the application can filter out the noise of non-target frequency band by applying high-intensity characteristic signal, so as to ensure the accuracy of the positioning result. The application innovatively adopts a layered detection strategy, first locates the area where vibration may exist through rapid coarse detection, and then performs fine analysis on the candidate area, thereby significantly reducing the calculation amount. Based on this, the method significantly improves the system operation efficiency while maintaining the positioning accuracy. In addition, the positioning algorithm adopted by the positioning system can automatically process the collected data, greatly reducing the complexity and potential error rate of manual operation, and solving a plurality of technical problems in the optical cable positioning system and method: reducing the dependence on manual operation, overcoming the real-time communication limitation, eliminating the influence of subjective judgment, improving the positioning efficiency and accuracy, and reducing the number of personnel required.

[0072] Second embodiment:

[0073] Based on the first embodiment, please refer to Figures 3 to 5 The application also provides a rapid optical cable positioning method, comprising the following steps:

[0074] S10, generating a sound signal, generating an audio signal with specified frequency components by software on a portable computing device.

[0075] Specifically, the characteristic sound wave adopted by the application can be a single frequency signal, a multi-frequency signal, a frequency modulation signal or other signals with specific frequency characteristics. This flexible signal design scheme enables the system to select the optimal signal form according to different application scenarios and environmental conditions, further improving the adaptability and anti-interference ability of the system.

[0076] The specific way of generating a sound signal by using software on a portable computing device to generate an audio signal with specified frequency components is:

[0077] S101, generating a signal with specified frequency components, generating an audio signal with specific frequency characteristics by software on a portable computing device, which can be a single frequency signal, a multi-frequency mixed signal, a frequency modulation signal or other signals with characteristic frequency components, wherein the selection of the frequency characteristics of the audio signal should consider the sensitivity range of the DAS detector and the environmental noise condition, so as to ensure that the audio signal is easy to identify and extract during the collection process;

[0078] S102, set the playing duration and ensure that the audio signal has a duration within the collection window of the DAS detector so as to carry out subsequent signal processing and analysis;

[0079] S103, ensure signal quality, the generated audio signal should have good signal-to-noise ratio and stability, avoid introducing additional noise interference, so as to improve the positioning accuracy.

[0080] S20, playing and recording audio signals, connecting the sound wave generator with the portable computing device, placing the sound wave generator at the pre-planned optical cable to be measured position, playing the audio signal through the sound wave generator, and recording the unique number of the current playing position.

[0081] Specifically, the playing and recording audio signals, connecting the sound wave generator with the portable computing device, placing the sound wave generator at the pre-planned optical cable to be measured position, playing the audio signal through the sound wave generator, and recording the unique number of the current playing position are specifically as follows:

[0082] S201, Bluetooth connection, pairing and connecting the high-quality sound wave generator with the portable computing device through Bluetooth protocol, and ensuring that the audio signal can be transmitted to the sound wave generator stably and with high quality;

[0083] S202, sound wave generator placement, positioning personnel placing the sound wave generator at the pre-planned optical cable to be measured position to ensure that the audio signal can produce high signal-to-noise ratio vibration response on the optical cable;

[0084] S203, one-key operation, using the software of the portable computing device to perform one-key operation, and triggering subsequent playing audio, recording timestamp and other actions;

[0085] S204, playing audio, playing the audio signal through the sound wave generator, which can be a single frequency signal, a multi-frequency mixed signal, a frequency modulation signal or other signals with characteristic frequency components, and the specific playing signal can be selected according to the noise environment on site;

[0086] S205, recording timestamp, recording the accurate timestamp of the start of playing in the format of “YYYY-MM-DD HH:MM:SS”, and the timestamp is accurate to seconds;

[0087] S206, recording position number, recording the unique number (such as “#24”) of the current playing position to identify different positioning positions. The ultimate positioning goal is to obtain the position correspondence between the unique number of the current position and the corresponding optical cable point position.

[0088] S30, the DAS receives and collects audio signals, continuously collects vibration data of all monitoring points within a preset time length through the DAS detector, records the time stamp of each collection, and transmits the collected data to the general-purpose computer after the collection is completed.

[0089] Specifically, the DAS receives and collects audio signals, continuously collects vibration data of all monitoring points within a preset time length through the DAS detector, records the time stamp of each collection, and transmits the collected data to the general-purpose computer after the collection is completed.

[0090] S301, DAS data acquisition, the DAS detector continuously collects vibration data of all monitoring points within a preset time length through a high-precision acquisition card at a sampling rate, and records the time stamp of each collection, to facilitate subsequent matching of the time stamp, wherein the sampling rate should satisfy the Nyquist sampling theorem to ensure that the target frequency signal can be accurately captured.

[0091] S302, data transmission, the DAS detector transmits the collected raw data to the general-purpose computer in real time to ensure the integrity and timeliness of the data and avoid data loss or delay.

[0092] S40, signal preprocessing, preprocessing the vibration data of all points collected by the DAS detector.

[0093] Specifically, the signal preprocessing, the specific way of filtering processing the vibration data of all points collected by the DAS detector is:

[0094] S401, high-pass filtering, applying a high-pass filter to remove low-frequency environmental noise, improve the signal-to-noise ratio, and adjust the selection of the cutoff frequency according to the noise situation on site;

[0095] S402, windowing, applying a window function (such as a Hanning window) to reduce spectral leakage effects and improve the accuracy of spectral analysis.

[0096] S50, energy and spectral analysis, using a hierarchical detection strategy to analyze and process the preprocessed vibration signals. Specifically, it includes two stages of coarse detection and fine analysis:

[0097] First stage: coarse detection

[0098] S501, fast energy detection

[0099] (1) The optical cable points are divided into multiple detection windows according to the spatial position, each detection window contains N adjacent points (such as N=50);

[0100] (2) Calculate the time domain energy value of the signal in each detection window: calculate the root mean square (RMS) value of the signal at each point; average the RMS values ​​of all points in the window to obtain the window energy feature;

[0101] (3) Set the energy threshold and identify the detection window where the energy value exceeds the threshold.

[0102] S502: Determine candidate regions

[0103] (1) Merge the identified high-energy windows, and merge adjacent high-energy windows into a candidate region

[0104] (2) To ensure that nothing is missed, expand the candidate area to M points on both sides and record the starting and ending point numbers of all candidate areas.

[0105] The second stage: detailed analysis S503, performing fast Fourier transform processing on the vibration signal of each point in the candidate area, and outputting the maximum peak value after peak recognition.

[0106] (1) Fast Fourier transform (FFT) is performed on the vibration signal of each point after preprocessing; the number of FFT points is selected, and an appropriate number of FFT points is selected to obtain a higher frequency resolution and ensure that the spectrum characteristic value can be accurately identified;

[0107] (2) Peak recognition: identifying the spectrum characteristic value within the target frequency range. If the sound wave played is a single-frequency signal or a multi-frequency signal, the spectrum peak of the corresponding frequency is identified. If the sound wave played is a linear frequency modulation signal, the peak value of the corresponding matched filter or correlation coefficient is obtained;

[0108] (3) Outputting characteristic values: For each point, according to the preset frequency feature extraction rules, extract the spectrum characteristic value within the target frequency band as the representative feature of the point. The characteristic value can be a quantitative indicator that can characterize the characteristics of the target signal, such as spectrum peak value, energy distribution, frequency component ratio, correlation coefficient, etc.

[0109] This hierarchical detection mechanism significantly improves the real-time performance of the system while ensuring positioning accuracy through a progressive processing strategy of "coarse detection-fine analysis".

[0110] In areas without network coverage, a portable computing device is used to collect the timestamp of each vibration event and the number of the location to be measured. A data caching algorithm is then used to store the collected data in a specific data structure. The data includes high-precision time synchronization information with a second-level timestamp and accurate location number information.

[0111] When the system returns to the network coverage area, the portable computing device transmits the stored data to the general-purpose computer in integrity and reliability through the intelligent data synchronization protocol;

[0112] The general-purpose computer then starts the post-processing algorithm chain, sequentially performs data integrity verification, spectral feature value extraction and intelligent positioning calculation, and through the mixed architecture of offline collection-online processing and strict data synchronization mechanism, ensures that the positioning accuracy is not reduced due to the offline working mode.

[0113] S60, signal positioning calculation, extracting the maximum spectral feature value of each point in the target frequency band in the collection window, identifying the point with the highest spectral feature value as the estimated position of the sound source.

[0114] Specifically, the signal positioning calculation needs to extract the maximum spectral feature value of each point in the target frequency band in the collection window according to the type of the played vibration sound, identify the point with the highest spectral feature value as the estimated position of the sound source.

[0115] S601, extracting the maximum spectral feature value, extracting the maximum spectral feature value of each point in the target frequency band in the collection window for all monitoring points;

[0116] S602, drawing a distribution map, drawing a point spectral feature value distribution map to intuitively show the peak value of each point, facilitating subsequent analysis and positioning;

[0117] S603, setting a threshold, setting a threshold for spectral feature values to distinguish audio playback events from background noise, wherein the threshold should be dynamically adjusted according to the noise environment on site to ensure accurate identification;

[0118] S604, judging the event, when the maximum spectral feature value is greater than the threshold, it is determined that the audio playback event has occurred;

[0119] S605, sound source positioning, identifying the point with the highest spectral feature value as the estimated position of the sound source, if higher accuracy is desired, interpolation is performed on the data near the point with the highest feature value to obtain higher positioning accuracy of the sound source position.

[0120] S70, timestamp matching, comparing the audio time identified by the DAS detector with the playback timestamp recorded by the portable computing device, calculating the time difference, if the time difference is within the allowed error range, confirming that the matching is successful, if the time difference exceeds the allowed range, triggering a warning and requiring manual post-review.

[0121] Specifically, the timestamp matching compares the audio time identified by the DAS detector with the playback timestamp recorded by the portable computing device, calculates the time difference, and if the time difference is within the allowed error range, it is confirmed that the matching is successful, and if the time difference exceeds the allowed range, a warning is triggered and the specific way of requiring manual post review is:

[0122] S701, calculate the time difference, compare the time of the audio event identified by the DAS detector with the playback timestamp recorded by the portable computing device, and calculate the time difference;

[0123] S702, confirm matching, if the time difference is within the allowed error range, it is confirmed that the matching is successful;

[0124] S703, trigger a warning, if the time difference exceeds the allowed range, trigger a warning and require manual post review to avoid false positioning results;

[0125] S704, associate the location number, based on the matching result, associate the location number recorded by the portable computing device with the optical cable point position positioned by the DAS detector, and establish a location correspondence.

[0126] S80, output the positioning result, generate and display a positioning result table on the user interaction interface of the general-purpose computer.

[0127] Specifically, a positioning result table is generated and displayed on the user interaction interface of the general-purpose computer, which includes audio playback timestamp, tablet recorded location number and DAS positioned optical cable point number and other information. At the same time, the general-purpose computer can provide an export function of the positioning result, support common file formats, so as to facilitate subsequent data analysis and processing.

[0128] The above only discloses one or more preferred embodiments of the present application, which cannot limit the scope of the present application. Those skilled in the art can understand that the implementation of all or part of the above-mentioned embodiments, and the equivalent changes made according to the claims of the present application, still belong to the scope covered by the present application.

Claims

1. A fast optical cable positioning system, characterized in that: The device comprises a general-purpose computer, a DAS detector, an optical cable, an acoustic wave generator, and a portable computing device, wherein the general-purpose computer and the DAS detector are connected via a network cable, the DAS detector is connected to the optical cable, the acoustic wave generator and the portable computing device are connected via Bluetooth, and the acoustic wave generator is placed at a predetermined position on the optical cable to be tested; The general-purpose computer is used to receive the position number, calculate the frequency domain information, identify the characteristic signal point and send the completion instruction function; The sound wave generator is used to play a vibration sound wave with a specified frequency component, and the signal is a single-frequency signal, a multi-frequency mixed signal, a frequency-modulated signal or other signal with a characteristic frequency component; The optical cable is used to detect and receive the vibration sound waves played by the sound wave generator; The DAS detector is used to collect differential phase data in the vibration sound waves propagated by the optical cable; The portable computing device is used to provide a user interface, and performs timestamp recording and roller number input functions on the user interface. It has an offline data storage function, which can complete data collection in an offline environment and upload data after returning to an area with a network; The automatic processing and acquisition module continuously collects vibration data from all monitoring points within a preset time period, records the timestamp of each acquisition, and automatically processes the collected data through the positioning algorithm.

2. A method for quickly locating an optical cable, applied to the optical cable quickly locating system according to claim 1, characterized in that: The following steps are involved: generating a sound signal, generating an audio signal having a specified frequency component using software on a portable computing device; Playing and recording an audio signal, connecting an acoustic wave generator to the portable computing device, placing the acoustic wave generator at a pre-planned optical cable test location, playing the audio signal through the acoustic wave generator, and recording a unique number of the current playback location; DAS receives and collects audio signals, continuously collects vibration data from all monitoring points within a preset time period through the DAS detector, and records the timestamp of each collection. After the collection is completed, the collected data is transmitted to the general computer in real time; Signal preprocessing, filtering the vibration data of all points collected by the DAS detector; Spectrum analysis: perform energy calculation and fast Fourier transform on the vibration signal of each point after preprocessing, identify the corresponding spectrum eigenvalues ​​according to the characteristic signal played, and then output the maximum eigenvalue; Signal positioning calculation: extract the maximum spectral eigenvalue of each point in the acquisition window in the target frequency band, identify the point with the maximum spectral eigenvalue as the estimated location of the sound source; Timestamp matching: the audio time identified by the DAS detector is compared with the playback timestamp recorded by the portable computing device, and the time difference is calculated. If the time difference is within the allowable error range, the match is confirmed to be successful. If the time difference exceeds the allowable range, a warning is triggered and manual review is required later; Output the positioning results, and generate and display a positioning result table on the user interaction interface of the general-purpose computer.

3. The optical cable rapid positioning method according to claim 2, wherein: The specific method of generating the sound signal by using software on the portable computing device to generate the audio signal of the specified frequency is as follows: Generate a specified frequency signal, using software on a portable computing device to generate an audio signal with a waveform and frequency. The signal may be a single-frequency signal, a multi-frequency mixed signal, a frequency-modulated signal, or other signal with characteristic frequency components. The selection of the waveform and frequency of the audio signal should take into account the sensitivity range of the DAS detector and the on-site environmental noise conditions to ensure that the audio signal is easy to identify and extract during the acquisition process. Set the playback duration to ensure that the audio signal lasts within the acquisition window of the DAS detector for subsequent signal processing and analysis; To ensure signal quality, the generated audio signal should have a good signal-to-noise ratio and stability to avoid introducing additional noise interference, so as to improve positioning accuracy.

4. The optical cable rapid positioning method according to claim 2, wherein: The specific method of playing and recording the audio signal, connecting the sound wave generator to the portable computing device, placing the sound wave generator at a pre-planned optical cable test position, playing the audio signal through the sound wave generator, and recording the unique number of the current playback position is as follows: Bluetooth connection, pairing and connecting the high-quality sound wave generator with the portable computing device via the Bluetooth protocol, and ensuring that the audio signal can be transmitted to the sound wave generator in a stable and high-quality manner; Placement of the acoustic wave generator: The positioning personnel place the acoustic wave generator at the pre-planned position of the optical cable to be tested. The placement distance should be appropriate to ensure that the audio signal can generate a vibration response with a high signal-to-noise ratio on the optical cable; One-touch operation, using the software of the portable computing device to perform a one-touch operation and trigger subsequent actions; Playing audio, playing the audio signal through the sound wave generator, the signal being a single-frequency signal, a multi-frequency mixed signal, a frequency-modulated signal or other signal with a characteristic frequency component; Record timestamps, recording the exact timestamp of the start of playback in the format of "YYYY-MM-DD HH:MM:SS", accurate to seconds; Record the position number, which is the unique number of the current playback position, to identify different positioning positions.

5. The optical cable rapid positioning method according to claim 2, characterized in that: The frequency domain analysis adopts a multi-scale detection mechanism based on a hierarchical strategy, specifically including: In the first coarse detection stage, a fast energy threshold detection algorithm is implemented on all monitoring points. By calculating the signal energy distribution characteristics, candidate areas with target signal characteristics are efficiently identified, significantly reducing the computational complexity of subsequent processing. In the second-level fine analysis stage, high-precision spectrum analysis is carried out on the candidate areas in a targeted manner, including the use of long-window FFT transform to obtain higher frequency resolution, and the combination of adaptive peak detection algorithm to extract signal features, effectively improving the positioning accuracy and reliability of the target signal.

6. The optical cable rapid positioning method according to claim 2, wherein: In areas without network coverage, a portable computing device is used to collect the timestamp of each vibration event and the number of the location to be measured. The collected data is then stored in a specific data structure using a data caching algorithm. The data includes high-precision time synchronization information with a second-level timestamp and accurate location number information. When the system returns to the network coverage area, the portable computing device transmits the stored data completely and reliably to the general-purpose computer via the intelligent data synchronization protocol; The general-purpose computer then starts the post-processing algorithm chain, which sequentially performs data integrity verification, spectrum feature value extraction, and intelligent positioning calculation. Through this offline acquisition-online processing hybrid architecture and a strict data synchronization mechanism, it ensures that positioning accuracy is not reduced due to the offline working mode.

7. The optical cable rapid positioning method according to claim 2, wherein: The DAS receives and collects audio signals, continuously collects vibration data of all monitoring points within a preset time period through the DAS detector, and records the timestamp of each collection. After collection, the collected data is transmitted to the general computer in real time in the following specific manner: DAS data acquisition: The DAS detector continuously collects vibration data from all monitoring points within a preset time period using a high-precision acquisition card at a sampling rate and records the timestamp of each acquisition to facilitate subsequent matching of the timestamps. The sampling rate should satisfy the Nyquist sampling theorem to ensure that the target frequency signal can be accurately captured. Data transmission: The DAS detector transmits the collected raw data to a general computer in real time to ensure the integrity and timeliness of the data and avoid data loss or delay.

8. The optical cable rapid positioning method according to claim 2, wherein: The frequency domain analysis is to perform fast Fourier transform on the vibration signal of each point after preprocessing, and output the maximum peak value after peak recognition in the following specific manner: Fast Fourier transform: perform fast Fourier transform on the vibration signal of each point after preprocessing; Selecting a fast Fourier transform point number, and selecting an appropriate number of fast Fourier transform points to obtain frequency resolution to ensure that the spectrum characteristic peak can be accurately identified; Peak recognition, identifying spectrum characteristic values ​​within the target frequency band; Record the spectrum eigenvalue information, record the amplitude of the eigenvalue and the corresponding frequency, for subsequent positioning calculation; Output the maximum peak value. For each point, output the maximum spectrum feature value within the target frequency band as the representative feature of the point.

Images