Optical cable disc remaining length automatic recognition method and system based on vibration waveform characteristics

Abstract

The application discloses a kind of based on the automatic identification method and system of optical cable coil length of vibration waveform feature, based on the automatic identification method of optical cable coil length of vibration waveform feature includes: obtaining the vibration signal of target optical cable, wherein vibration signal is generated by applying vibration excitation to the tube well where target optical cable is located, feature extraction is carried out to vibration signal, waveform feature parameter is obtained, the coil length of target optical cable is calculated according to waveform feature parameter, and the coil length of optical cable is obtained.The application can improve the accuracy of coil length identification, reduce the error of identification, and improve the reliability of coil length.

Description

Technical Field

[0001] This invention relates to the quality inspection and resource verification of optical cable construction, and in particular to an automatic identification method and system for optical cable coil length based on vibration waveform characteristics. Background Technology

[0002] Currently, fiber optic cable coiling is a crucial step in fiber optic cable construction. It's used to address needs such as line expansion and contraction, maintenance, and adjustments, and the length of the coiled cable directly affects the operational stability of the fiber optic cable. However, the current method of manually identifying the coiled length after construction is prone to changes due to external forces, resulting in large identification errors and low reliability. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes an automatic identification method for the coiled length of optical cables based on vibration waveform characteristics, which can improve the accuracy of coiled length identification, reduce identification errors, and improve the reliability of coiled length identification.

[0004] The present invention also proposes an automatic identification system for the coiled length of optical cables based on vibration waveform characteristics.

[0005] The present invention also proposes an automatic identification device for the coiled length of optical cables based on vibration waveform characteristics.

[0006] The present invention also proposes a computer-readable storage medium.

[0007] In a first aspect, one embodiment of the present invention provides an automatic identification method for the coiled length of optical cables based on vibration waveform characteristics, comprising:

[0008] The vibration signal of the target optical cable is acquired; wherein the vibration signal is generated by applying vibration excitation to the well where the target optical cable is located;

[0009] The vibration signal is subjected to feature extraction to obtain waveform feature parameters;

[0010] The coil length of the target optical cable is calculated based on the waveform characteristic parameters to obtain the coil length of the optical cable.

[0011] The automatic identification method for optical cable coil length in this invention has at least the following advantages: An operator carries a striking tool to the manhole where the target optical cable is located and strikes the center of the manhole cover vertically with the tool, generating a stable vibration excitation signal. This achieves an optimal balance between signal recognition accuracy and propagation distance. The vibration signal generated by the striking is transmitted through the manhole cover to the optical cable sheath, and then through the fiber core to the line-following analyzer. The vibration signal receiving module built into the line-following analyzer collects the vibration signal in real time and converts it into a digital signal that can be analyzed and processed. The analysis and processing equipment receives the collected vibration signal, extracts waveform features, and obtains waveform feature parameters. Based on the number of peaks and peak spacing in the extracted waveform feature parameters, combined with the known propagation speed of the vibration signal in the optical cable, the analysis and processing equipment calculates the coil length of the target optical cable using a preset algorithm, thus obtaining the optical cable coil length. This improves the accuracy of coil length identification, reduces identification errors, and enhances the reliability of coil length identification.

[0012] According to other embodiments of the present invention, the automatic identification method for optical cable coil length includes waveform feature parameters such as peak count, peak spacing, and attenuation amplitude. The step of feature extraction from the vibration signal to obtain waveform feature parameters includes:

[0013] Identify the vibration peaks in the waveform of the vibration signal and count the number of vibration peaks to obtain the peak count;

[0014] The time difference between two adjacent vibration peaks is calculated to obtain the peak spacing;

[0015] The attenuation amplitude is obtained by calculating the difference between the peak amplitude of the first vibration peak and the peak amplitude of the last vibration peak.

[0016] According to other embodiments of the present invention, the method for automatically identifying the coiled length of an optical cable includes calculating the coiled length of the target optical cable based on the waveform feature parameters to obtain the coiled length of the optical cable, comprising:

[0017] The coiling radius is calculated based on the peak spacing and the propagation speed of the vibration signal in the optical cable;

[0018] The coiling length of the target optical cable is calculated based on the number of peaks and the coiling radius.

[0019] According to other embodiments of the present invention, the automatic identification method for optical cable coiling length, after calculating the coiling length of the target optical cable based on the waveform feature parameters to obtain the optical cable coiling length, further includes:

[0020] The attenuation magnitude comparison result is obtained by comparing the attenuation magnitude with the preset attenuation threshold.

[0021] The retention status of the optical cable coil length is determined based on the attenuation amplitude comparison results.

[0022] According to other embodiments of the present invention, the method for automatically identifying the coiled length of optical cables, wherein determining the coiling status of the optical cable based on the attenuation amplitude comparison result includes:

[0023] When the attenuation amplitude is greater than the preset attenuation threshold, it is determined that the target optical cable is coiled, and the coiled length of the optical cable is confirmed to be valid.

[0024] When the attenuation amplitude is less than or equal to the preset attenuation threshold, the vibration signal is determined to be a normal routing segment signal, and the fiber optic cable coil length is confirmed to be invalid.

[0025] According to other embodiments of the present invention, the automatic identification method for optical cable coiling length, after calculating the coiling length of the target optical cable based on the waveform feature parameters to obtain the optical cable coiling length, further includes:

[0026] Obtain the construction design allowance length of the target optical cable;

[0027] The length of the optical cable coil is compared with the length of the construction design to obtain the length comparison result;

[0028] If the length comparison result indicates that the error between the optical cable coiling length and the construction design coiling length does not exceed a preset threshold, the optical cable coiling length is determined to meet the specifications.

[0029] Secondly, one embodiment of the present invention provides an automatic identification system for the coiled length of optical cables based on vibration waveform characteristics, comprising:

[0030] A vibration excitation device, comprising a striking tool, is used to apply vibration excitation to the well where the target optical cable is located, thereby generating a vibration signal;

[0031] The signal acquisition device includes a line-following analyzer for acquiring the vibration signal;

[0032] An analysis and processing device, comprising a mobile terminal or cloud platform, is used to receive the vibration signal and to execute the automatic identification method for the coiled length of optical cable described in the first aspect above.

[0033] According to other embodiments of the present invention, the automatic identification system for optical cable coil length includes a cloud platform comprising:

[0034] A vibration signal acquisition module is used to acquire the vibration signal of the target optical cable; wherein, the vibration signal is generated by applying vibration excitation to the well where the target optical cable is located;

[0035] The feature extraction module is used to extract features from the vibration signal to obtain waveform feature parameters;

[0036] The coiling length calculation module is used to calculate the coiling length of the target optical cable based on the waveform characteristic parameters, and obtain the coiling length of the optical cable.

[0037] Thirdly, one embodiment of the present invention provides an automatic identification device for the coiled length of optical cables based on vibration waveform characteristics, comprising:

[0038] At least one processor, and,

[0039] A memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the automatic identification method for optical cable coil length as described in the first aspect.

[0041] Fourthly, one embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the automatic identification method for optical cable coil length as described in the first aspect.

[0042] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description and the accompanying drawings. Attached Figure Description

[0043] Figure 1 This is a schematic flowchart of a specific embodiment of the automatic identification method for optical cable coil length in this invention.

[0044] Figure 2 yes Figure 1 A schematic diagram of a specific embodiment of step 102;

[0045] Figure 3 yes Figure 1 A schematic diagram of a specific embodiment of step 103;

[0046] Figure 4 This is a schematic flowchart of another specific embodiment of the automatic identification method for optical cable coil length in this invention;

[0047] Figure 5 yes Figure 4 A schematic flowchart of a specific embodiment of step 402;

[0048] Figure 6 This is a schematic flowchart of another specific embodiment of the automatic identification method for optical cable coil length in this invention;

[0049] Figure 7 This is a schematic diagram of a specific embodiment of the automatic identification system for optical cable coil length in this invention.

[0050] Figure 8 This is a block diagram of a specific embodiment of the cloud platform in this invention.

[0051] Explanation of reference numerals in the attached figures:

[0052] Vibration signal acquisition module 801, feature extraction module 802, and coil length calculation module 803. Detailed Implementation

[0053] The following will describe the concept and technical effects of the present invention clearly and completely with reference to embodiments, so as to fully understand the purpose, features and effects of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are all within the scope of protection of the present invention.

[0054] In the description of this invention, if directional descriptions are involved, such as "up," "down," "front," "back," "left," "right," etc., indicating the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, it is only for the convenience of describing the invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. If a feature is referred to as "set," "fixed," "connected," or "installed" on another feature, it can be directly set, fixed, or connected to the other feature, or it can be indirectly set, fixed, connected, or installed on the other feature.

[0055] In the description of the embodiments of the present invention, the term "several" means one or more, and the term "multiple" means two or more. The terms "greater than," "less than," and "exceeding" should be understood as excluding the stated number, while the terms "above," "below," and "within" should be understood as including the stated number. The terms "first" and "second" should be understood as distinguishing technical features, and not as indicating or implying relative importance, the number of indicated technical features, or the order of the indicated technical features.

[0056] Currently, fiber optic cable coiling is a crucial step in fiber optic cable construction. It's used to address needs such as line expansion and contraction, maintenance, and adjustments, and the length of the coiled cable directly affects the operational stability of the fiber optic cable. However, the current method of manually identifying the coiled length after construction is prone to changes due to external forces, resulting in large identification errors and low reliability.

[0057] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes an automatic identification method for the coiled length of optical cables based on vibration waveform characteristics, which can improve the accuracy of coiled length identification, reduce identification errors, and improve the reliability of coiled length identification.

[0058] Reference Figure 1 , Figure 1 A flowchart illustrating the automatic identification method for optical cable coil length in an embodiment of the present invention is shown. In some embodiments, the automatic identification method for optical cable coil length may include, but is not limited to, steps 101 to 103:

[0059] Step 101: Obtain the vibration signal of the target optical cable; wherein, the vibration signal is generated by applying vibration excitation to the well where the target optical cable is located.

[0060] In step 101, when the manhole cover is struck, mechanical vibration couples into the optical cable through the contact point between the cover and the cable. The fiber core in the cable, acting as the transmission medium for the optical signal, undergoes a change in refractive index when subjected to mechanical vibration (i.e., the photoelastic effect), resulting in a corresponding change in the phase of the transmitted optical signal. The line-following analyzer demodulates this phase change into a vibration waveform signal using interferometric detection technology (such as a Mach-Zehnder interferometer structure), thereby achieving photoelectric conversion and acquisition of the mechanical vibration.

[0061] Step 102: Extract features from the vibration signal to obtain waveform feature parameters.

[0062] Step 103: Calculate the coiling length of the target optical cable based on the waveform characteristic parameters to obtain the coiling length of the optical cable.

[0063] In steps 101 to 103 of this embodiment, the operator carries a striking tool to the manhole where the target optical cable is located and strikes the center of the manhole cover vertically with the tool, generating a stable vibration excitation signal. This achieves an optimal balance between signal recognition accuracy and propagation distance. The vibration signal generated by the striking is transmitted through the manhole cover to the optical cable sheath, and then through the fiber core to the line inspection analyzer. The vibration signal receiving module built into the line inspection analyzer collects the vibration signal in real time and converts it into a digital signal that can be analyzed and processed. The analysis and processing equipment receives the collected vibration signal, extracts waveform features, and obtains waveform feature parameters. Based on the number of peaks and peak spacing in the extracted waveform feature parameters, combined with the known propagation speed of the vibration signal in the optical cable, the analysis and processing equipment calculates the coil length of the target optical cable using a preset algorithm, thus obtaining the optical cable coil length. This improves the accuracy of coil length identification, reduces identification errors, and enhances the reliability of coil length identification.

[0064] Reference Figure 2 , Figure 2 This diagram illustrates a flowchart of an automatic optical cable coil length identification method according to an embodiment of the present invention. In some embodiments, waveform feature parameters include: number of peaks, peak spacing, and attenuation amplitude. Feature extraction of the vibration signal yields waveform feature parameters, specifically including but not limited to steps 201 to 203.

[0065] Step 201: Identify the vibration peaks in the waveform of the vibration signal and count the number of vibration peaks to obtain the peak count.

[0066] Step 202: Calculate the time difference between two adjacent vibration peaks to obtain the peak spacing.

[0067] In step 202, as the vibration signal propagates along the coiled optical fiber, it undergoes a complete reflection / attenuation process every full circumference (2πr), which is represented by the time interval between two adjacent vibration peaks on the waveform. Therefore, there is a definite mathematical relationship between the peak spacing Δt and the coiling radius r: Δt = 2πr / v, where v is the propagation speed of the vibration signal in the optical cable. By measuring the peak spacing Δt, the coiling radius r can be indirectly calculated.

[0068] Step 203: Calculate the attenuation amplitude by the difference between the peak amplitude of the first vibration peak and the peak amplitude of the last vibration peak.

[0069] Steps 201 to 203, as illustrated in the embodiments of this application, involve calculating the first derivative of the vibration signal and identifying points where the derivative is zero and the second derivative is negative; these points are the local maxima of the waveform. Next, an amplitude threshold and time window are set to filter the detected local maxima, eliminating false peaks with excessively small or dense amplitudes. Finally, the total number of local maxima that meet the conditions is counted, which is the peak count. The peak amplitude of the first vibration peak (initial peak) and the peak amplitude of the last vibration peak (final peak) in the identified vibration peak sequence are obtained, and the difference between the two is calculated to obtain the attenuation amplitude.

[0070] It should be noted that the waveform characteristic parameters are the basic data for subsequent calculation of the coiling length, mainly including parameters in three dimensions: number of peaks, peak spacing, and attenuation amplitude. These three parameters characterize the propagation characteristics of the vibration signal in the coiled optical cable from the dimensions of quantity, time, and energy, respectively, and together constitute the complete feature vector of the coiling state.

[0071] The three waveform characteristic parameters—number of peaks n, peak spacing Δt, and attenuation amplitude ΔA—characterize the coiling state from three different dimensions: the number of peaks n reflects the number of coiling cycles (quantitative dimension), the peak spacing Δt reflects the size of the coiling radius (spatial dimension), and the attenuation amplitude ΔA reflects the signal energy loss caused by coiling (energy dimension). These three parameters are independent yet mutually corroborative, together constituting a complete characteristic description of the coiling state.

[0072] Reference Figure 3 , Figure 3 A flowchart illustrating the automatic identification method for optical cable coiling length in an embodiment of the present invention is shown. In some embodiments, the coiling length of the target optical cable is calculated based on waveform feature parameters to obtain the optical cable coiling length, specifically including but not limited to steps 301 to 302:

[0073] Step 301: Calculate the coiling radius based on the peak spacing and the propagation speed of the vibration signal in the optical cable.

[0074] In step 301, the peak spacing Δt represents the time required for the vibration signal to propagate one loop in the coiled optical cable. The propagation speed v of the vibration signal in the optical cable is a known constant, therefore the path length traversed by the vibration signal to propagate one loop is also represented.

[0075] Step 302: Calculate the coiling length of the target optical cable based on the number of peaks and the coiling radius.

[0076] In steps 301 to 302 of this embodiment, the calculated peak spacing Δt and the propagation speed v of the vibration signal in the optical cable are obtained, and the coiling radius r is calculated using the following formula: r = v × Δt / 2π. The calculated number of peaks n and the calculated coiling radius r are obtained, and the coiling length L of the target optical cable is calculated using the following formula: L = n × 2πr.

[0077] It should be noted that the number of peaks, n, represents the number of reflections / attenuations the vibration signal undergoes in the coiled optical cable, i.e., the number of coils. The length of each coil is the circumference of the coiled optical fiber, C = 2πr. Therefore, the total coil length L is equal to the number of coils n multiplied by the circumference of a single coil C: L = n × C = n × 2πr.

[0078] Substituting the formula r = v × Δt / 2π into the above equation, we obtain the complete formula for calculating the storage length L: L = n × 2π × (v × Δt / 2π) = n × v × Δt. The simplified formula L = n × v × Δt shows that the storage length L is proportional to the product of the number of peaks n, the vibration propagation velocity v, and the peak spacing Δt. This simplified formula reduces rounding errors in intermediate calculations and improves calculation accuracy.

[0079] Reference Figure 4 , Figure 4 A flowchart illustrating the automatic identification method for optical cable coiling length in an embodiment of the present invention is shown. In some embodiments, after calculating the coiling length of the target optical cable based on waveform feature parameters to obtain the optical cable coiling length, the method may further include, but is not limited to, steps 401 to 402:

[0080] Step 401: Compare the attenuation magnitude with the preset attenuation threshold to obtain the attenuation magnitude comparison result.

[0081] Step 402: Determine the retention status of the optical cable coil length based on the attenuation amplitude comparison results.

[0082] In steps 401 to 402 of this embodiment, the attenuation amplitude ΔA calculated in step S1023 is obtained and compared with a preset attenuation threshold A_th. The comparison process is as follows: the difference D = ΔA - A_th is calculated. When D > 0, it indicates that the attenuation amplitude exceeds the threshold; when D ≤ 0, it indicates that the attenuation amplitude does not exceed the threshold. The comparison result is output as the attenuation amplitude comparison result. When the attenuation amplitude ΔA is greater than the preset attenuation threshold A_th, it indicates that the vibration signal has experienced significant additional attenuation during transmission, i.e., bending loss caused by optical cable coiling. At this time, it is determined that the target optical cable is coiled, and the calculated optical cable coiling length is confirmed to be a valid value, allowing subsequent output or comparison. When the attenuation amplitude ΔA is less than or equal to the preset attenuation threshold A_th, it indicates that the vibration signal has not experienced significant additional attenuation during transmission, and its attenuation level is comparable to the attenuation level of the optical cable in the normal route section. At this point, it is determined that there is no coiled fiber optic cable in the target cable, and the calculated coiled length is confirmed to be invalid. The cable should be discarded, and the operator should be prompted to reconfirm the well location or check the equipment connection. The coiled length calculation result is verified by the independent parameter of attenuation amplitude, forming a closed loop of "feature extraction → length calculation → attenuation verification", which significantly improves the reliability of identification.

[0083] Reference Figure 5 , Figure 5 This diagram illustrates a flowchart of an automatic optical cable coiling length identification method according to an embodiment of the present invention. In some embodiments, determining the coiling status of the optical cable based on the attenuation amplitude comparison result specifically includes, but is not limited to, steps 501 to 502:

[0084] Step 501: When the attenuation amplitude is greater than the preset attenuation threshold, it is determined that the target optical cable is coiled and the coiled length of the optical cable is confirmed to be valid.

[0085] In step 501, fiber optic cable coiling causes fiber core bending, resulting in bending loss and significant attenuation of the vibration signal energy. The attenuation amplitude ΔA is a direct quantification of this energy attenuation process. When ΔA exceeds the preset attenuation threshold A_th, it indicates that the energy attenuation is much greater than the inherent attenuation level of the normal route segment, i.e., coiling exists.

[0086] Step 502: When the attenuation amplitude is less than or equal to the preset attenuation threshold, the vibration signal is determined to be a normal route segment signal, and the fiber optic cable coil length is confirmed to be invalid.

[0087] In step 502, the optical cable in the normal route section is usually laid in a straight line or with a large radius bend. The bending radius of the fiber core is much larger than that of the coiled section, and the bending loss is minimal. The attenuation of the vibration signal mainly comes from the inherent loss of the optical cable (including Rayleigh scattering loss and absorption loss). This inherent loss is stable and predictable under normal conditions, and its value is usually lower than the preset attenuation threshold A_th. Therefore, when ΔA≤A_th, it indicates that the vibration signal has not experienced additional losses caused by coiling, and it can be reasonably inferred that there is no coiling at the current measurement location.

[0088] In steps 501 to 502 of this embodiment, when the attenuation amplitude comparison result indicates that the attenuation amplitude ΔA is greater than the preset attenuation threshold A_th (i.e., ΔA>A_th), the analysis and processing device determines that the target optical cable is coiled at the current measurement position. When the attenuation amplitude comparison result indicates that the attenuation amplitude ΔA is less than or equal to the preset attenuation threshold A_th (i.e., ΔA≤A_th), the analysis and processing device determines that the currently collected vibration signal does not originate from the coiled section, but from the normal routing section.

[0089] Reference Figure 6 , Figure 6 A flowchart illustrating the automatic identification method for optical cable coiling length in an embodiment of the present invention is shown. In some embodiments, after calculating the coiling length of the target optical cable based on waveform characteristic parameters to obtain the optical cable coiling length, the method may further include, but is not limited to, steps 601 to 603:

[0090] Step 601: Obtain the construction design allowance length of the target optical cable.

[0091] In step 601, the construction design allowance length is derived from the optical cable construction design documents and is the standard allowance length value required by the construction specifications. The methods for obtaining this length include, but are not limited to, the following:

[0092] (1) Operators manually input the design allowance length according to the construction design documents through the manual input interface of the mobile terminal APP.

[0093] (2) The mobile terminal APP can automatically parse and obtain the design allowance length by scanning the QR code or barcode of the construction design document.

[0094] (3) The mobile terminal APP establishes a communication connection with the cloud platform and automatically downloads the design retention length of the corresponding well from the construction design database stored on the cloud platform.

[0095] (4) Read the design retention length information in the electronic tag set at the well using near field communication (NFC) technology.

[0096] Step 602: Compare the length of the optical cable coil with the length of the construction design to obtain the length comparison result.

[0097] Step 603: If the length comparison result indicates that the error between the optical cable coil length and the construction design coil length does not exceed the preset threshold, the optical cable coil length is determined to meet the specifications.

[0098] In step 603, the preset threshold is the maximum error range allowed in the construction specifications, and its value is determined based on industry standards and engineering practice.

[0099] In steps 601 to 603 of this embodiment, the designed construction length of the target optical cable is obtained. The calculated length is compared with the obtained designed construction length. When the error is ≤5%, the analysis and processing equipment determines that the length of the target optical cable conforms to the specifications, and the APP interface displays a "qualified" indicator (preferably green), outputting the specific value of the length and the "conforms to specifications" conclusion. Simultaneously, this qualified result can be uploaded to the cloud platform for archiving and storage. When the error is >5%, the analysis and processing equipment determines that the length of the target optical cable does not conform to the specifications, and the APP interface displays a "unqualified" indicator (preferably red), outputting the specific value of the length, the direction of deviation, and the degree of deviation. Simultaneously, it is recommended that operators check the length of the cable and make corrections. This unqualified result is also uploaded to the cloud platform as a record of construction quality issues.

[0100] In addition, this application discloses an automatic identification system for optical cable coil length, please refer to... Figure 7 , Figure 7This is a schematic diagram of an automatic optical cable coil length identification system according to an embodiment of the present invention. In some embodiments, the automatic optical cable coil length identification system includes: a vibration excitation device, a signal acquisition device, and an analysis and processing device. The vibration excitation device includes a striking tool, which applies vibration excitation to the manhole where the target optical cable is located, generating a vibration signal. The signal acquisition device includes a line inspection analyzer, which acquires the vibration signal. The analysis and processing device includes a mobile terminal or a cloud platform, which receives the vibration signal and executes the automatic optical cable coil length identification method of any of the above embodiments.

[0101] The operator uses a rubber mallet to strike the center of the manhole cover of the target well vertically. The striking force causes the manhole cover to vibrate continuously and stably. The mechanical vibration generated by the strike is transmitted to the fiber core of the optical cable through the mechanical coupling path of the manhole cover and the optical cable, forming a vibration signal that propagates along the optical cable. The continuous light wave emitted from the light source by the vibration signal receiving module is split into two paths: one as a reference light and the other as a sensing light, which is injected into the target optical cable. The vibration signal causes a phase change in the sensing light in the fiber core. The reference light and the sensing light interfere at the receiving end, and the change in the interference signal reflects the waveform of the vibration signal. The sampling rate of the vibration signal receiving module is preferably 100Hz, and the acquisition time is preferably 2 seconds, which can completely capture the waveform characteristics of the vibration signal.

[0102] The workflow of a mobile app is as follows:

[0103] (1) Data reception: The APP receives the vibration waveform data and fiber core distance data uploaded by the line-following analyzer through the communication interface.

[0104] (2) Feature extraction: The APP calls the built-in waveform feature extraction algorithm to perform peak detection on the vibration waveform and extract three feature parameters: peak number n, peak spacing Δt, and attenuation amplitude ΔA.

[0105] (3) Length calculation: The APP calls the built-in retention length calculation algorithm to calculate the retention length L according to the formulas r=v×Δt / 2π and L=n×2πr.

[0106] (4) Attenuation verification: The APP compares the attenuation amplitude ΔA with the preset attenuation threshold A_th. When ΔA>A_th, the retention length is confirmed to be valid.

[0107] (5) Standard judgment: The APP obtains the construction design allowance length (which can be entered by the operator or obtained from the cloud platform), calculates the error, and judges whether it meets the standard (error ≤ 5% is qualified).

[0108] (6) Results output and upload: The APP displays the results such as the retention length and the qualified / unqualified judgment conclusion on the interface, and uploads the results along with the measurement data to the cloud platform for storage.

[0109] The workflow of the cloud platform is as follows:

[0110] (1) Data storage: Receive and store the retention identification results uploaded by the mobile terminal APP, including complete information such as well location, retention length, error, judgment conclusion, and measurement time.

[0111] (2) Data management: Provides data query, statistics, analysis and other functions, and supports the retrieval and summarization of inventory data by time, location, qualified status and other dimensions.

[0112] (3) Data sharing: Provide a unified viewing and analysis platform for construction management personnel and quality inspection personnel, and support simultaneous access from multiple terminals.

[0113] (4) Design value provision: Store the construction design allowance length data of each well for automatic download and comparison by the APP.

[0114] It should be noted that the vibration excitation device is not limited to a rubber hammer. In other embodiments, other types of striking tools (such as wooden hammers or plastic hammers) or electronic vibration exciters (such as electromagnetic exciters or piezoelectric exciters) can also be used, as long as they can generate a stable vibration signal with the required frequency and energy. Rubber hammers have comprehensive advantages such as low cost, simple operation, and stable signal.

[0115] The line-following analyzer integrates a vibration signal receiving module and an OTDR (Optical Time Domain Reflectometer) module. The OTDR module measures the propagation distance of the vibration signal in the optical cable (i.e., fiber core distance data). The OTDR module emits optical pulses into the optical cable and receives Rayleigh backscattered light and Fresnel reflected light from various locations on the fiber. By analyzing the time delay of the scattered / reflected light, the distance of each event point (including the vibration excitation point) in the optical cable is calculated.

[0116] The preferred mobile terminal is a smartphone or tablet equipped with an app for automatic discrepancy length recognition. It communicates with the line analysis instrument via a wired connection (such as a USB data cable) or a wireless connection (such as Bluetooth or Wi-Fi).

[0117] The system boasts a complete architecture, forming a comprehensive end-to-end identification system from vibration excitation and signal acquisition to analysis and processing. Each component has a clear division of labor and works efficiently together, with high equipment reusability: both the cable line analyzer and the mobile terminal are commonly used devices in fiber optic cable route investigation, eliminating the need for additional dedicated equipment and resulting in low implementation costs. It can identify fiber optic cable coils of varying radii (0.5-2 meters) and lengths (50-500 meters), making it suitable for identification of fiber optic cable coils in telecommunications, mobile, and Unicom operators, as well as in the power and petroleum industries.

[0118] Reference Figure 8 , Figure 8 This invention discloses a module block diagram of a cloud platform according to one embodiment. In some embodiments, the cloud platform includes: a vibration signal acquisition module 801, a feature extraction module 802, and a disc length calculation module 803, all of which are communicatively connected.

[0119] The vibration signal acquisition module 801 acquires the vibration signal of the target optical cable. The vibration signal is generated by applying vibration excitation to the manhole containing the target optical cable. The feature extraction module 802 extracts features from the vibration signal to obtain waveform feature parameters. The coiling length calculation module 803 calculates the coiling length of the target optical cable based on the waveform feature parameters, thus obtaining the cable coiling length.

[0120] Operators carry a striking tool to the manhole containing the target optical cable and strike the center of the manhole cover vertically with the tool, generating a stable vibration excitation signal that achieves an optimal balance between signal recognition and propagation distance. The vibration signal generated by the striking is transmitted through the manhole cover to the optical cable sheath, and then through the fiber core to the line analysis instrument. The vibration signal acquisition module 801 receives the vibration signal in real time and converts it into a digital signal that can be analyzed and processed. The feature extraction module 802 extracts waveform features from the vibration signal to obtain waveform feature parameters. The coil length calculation module 803 calculates the coil length of the target optical cable based on the number of peaks and peak spacing in the extracted waveform feature parameters, combined with the known propagation speed of the vibration signal in the optical cable, using a preset algorithm. This improves the accuracy of coil length identification, reduces identification errors, and enhances the reliability of coil length identification.

[0121] The operation process of the automatic optical cable coil length identification system based on vibration waveform characteristics in this embodiment is specifically described above. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 as well as Figure 6 The steps S101 to S103, S201 to S203, S301 and S302, S401 and S402, S501 and S502, and S601 to S603 of the automatic identification method for the coiled length of optical fiber are not described in detail here.

[0122] Another embodiment of the present invention discloses an automatic identification device for the coiled length of optical cables based on vibration waveform characteristics, comprising: at least one processor, and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform actions such as... Figure 1 Control method steps S101 to S103 Figure 2 Control method steps S201 to S203 Figure 3 Control method steps S301 and S302 Figure 4 Control method steps S401 and S402 Figure 5 The control method steps S501 and S502 and Figure 6 The control method steps S601 to S603 of the automatic identification method for optical cable coil length.

[0123] Another embodiment of the present invention discloses a computer-readable storage medium, the storage medium comprising: storing computer-executable instructions for causing a computer to perform... Figure 1 Control method steps S101 to S103 Figure 2 Control method steps S201 to S203 Figure 3 Control method steps S301 and S302 Figure 4 Control method steps S401 and S402 Figure 5 The control method steps S501 and S502 and Figure 6 The control method steps S601 to S603 of the automatic identification method for optical cable coil length.

[0124] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0125] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0126] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention. Furthermore, the embodiments of the present invention and the features thereof can be combined with each other unless otherwise specified.

Claims

1. A method for automatically identifying the coiled length of optical cables based on vibration waveform characteristics, characterized in that, include: The vibration signal of the target optical cable is acquired; wherein the vibration signal is generated by applying vibration excitation to the well where the target optical cable is located; The vibration signal is subjected to feature extraction to obtain waveform feature parameters; The coil length of the target optical cable is calculated based on the waveform characteristic parameters to obtain the coil length of the optical cable.

2. The automatic identification method for optical cable coil length according to claim 1, characterized in that, The waveform feature parameters include: number of peaks, peak spacing, and attenuation amplitude. The feature extraction of the vibration signal to obtain the waveform feature parameters includes: Identify the vibration peaks in the waveform of the vibration signal and count the number of vibration peaks to obtain the peak count; The time difference between two adjacent vibration peaks is calculated to obtain the peak spacing; The attenuation amplitude is obtained by calculating the difference between the peak amplitude of the first vibration peak and the peak amplitude of the last vibration peak.

3. The automatic identification method for optical cable coil length according to claim 2, characterized in that, The step of calculating the coil length of the target optical cable based on the waveform characteristic parameters to obtain the coil length of the optical cable includes: The coiling radius is calculated based on the peak spacing and the propagation speed of the vibration signal in the optical cable; The coiling length of the target optical cable is calculated based on the number of peaks and the coiling radius.

4. The automatic identification method for optical cable coil length according to claim 2, characterized in that, After calculating the coiled length of the target optical cable based on the waveform characteristic parameters to obtain the coiled length of the optical cable, the method further includes: The attenuation magnitude comparison result is obtained by comparing the attenuation magnitude with the preset attenuation threshold. The retention status of the optical cable coil length is determined based on the attenuation amplitude comparison results.

5. The automatic identification method for optical cable coil length according to claim 4, characterized in that, The step of determining the coiling status of the optical cable based on the attenuation amplitude comparison result includes: When the attenuation amplitude is greater than the preset attenuation threshold, it is determined that the target optical cable is coiled, and the coiled length of the optical cable is confirmed to be valid. When the attenuation amplitude is less than or equal to the preset attenuation threshold, the vibration signal is determined to be a normal routing segment signal, and the fiber optic cable coil length is confirmed to be invalid.

6. The automatic identification method for optical cable coil length according to claim 2, characterized in that, After calculating the coiled length of the target optical cable based on the waveform characteristic parameters to obtain the coiled length of the optical cable, the method further includes: Obtain the construction design allowance length of the target optical cable; The length of the optical cable coil is compared with the length of the construction design to obtain the length comparison result; If the length comparison result indicates that the error between the optical cable coiling length and the construction design coiling length does not exceed a preset threshold, the optical cable coiling length is determined to meet the specifications.

7. An automatic identification system for the coiled length of optical cables based on vibration waveform characteristics, characterized in that, include: A vibration excitation device, comprising a striking tool, is used to apply vibration excitation to the well where the target optical cable is located, thereby generating a vibration signal; The signal acquisition device includes a line-following analyzer for acquiring the vibration signal; An analysis and processing device, comprising a mobile terminal or cloud platform, is used to receive the vibration signal and to execute the automatic identification method for optical cable coil length as described in any one of claims 1 to 6.

8. The automatic identification system for optical cable coil length according to claim 2, characterized in that, The cloud platform includes: A vibration signal acquisition module is used to acquire the vibration signal of the target optical cable; wherein, the vibration signal is generated by applying vibration excitation to the well where the target optical cable is located; The feature extraction module is used to extract features from the vibration signal to obtain waveform feature parameters; The coiling length calculation module is used to calculate the coiling length of the target optical cable based on the waveform characteristic parameters, and obtain the coiling length of the optical cable.

9. An automatic identification device for the coiled length of optical cables based on vibration waveform characteristics, characterized in that, include: At least one processor, and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the automatic identification method for optical cable coil length as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the automatic identification method for optical cable coil length as described in any one of claims 1 to 6.

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