A live inspection method and system for OPGW optical cables based on drones

Abstract

The present invention relates to the field of optical cable dumb resource operation and maintenance, and specifically to a live inspection method and system for OPGW optical cables based on drones. The method comprises: obtaining real-time optical cable data of a target optical cable and obtaining the specific signal reception strength received by the target optical cable; dynamically optimizing the specific signal emission strength of the drone based on the specific signal reception strength, environmental noise parameters, and the distance between the drone and the target optical cable; and obtaining the routing position point of the target optical cable and the corresponding optical cable distance based on the specific signal reception strength when the drone is flying, thereby obtaining the routing direction of the target optical cable. Compared with the prior art, the present invention analyzes the relationship between the specific signal reception strength received by the target optical cable, the environmental noise parameters, and the distance between the drone and the target optical cable, and dynamically adjusts the specific signal emission strength of the drone, so that the target optical cable can effectively receive the specific acoustic wave signal, thereby effectively obtaining data to realize live inspection of the target optical cable.

Description

Technical Field

[0001] The present invention relates to the field of optical cable dumb resource operation and maintenance, and more specifically, to a live inspection method and system for OPGW optical cables based on a drone. Background Art

[0002] As the scale of power grids continues to expand, the number of optical fiber composite overhead ground wires (OPGW cables) is also increasing, and the demand for inspections of these cables is also increasing. These cables are typically installed in the air using optical cable racks. Therefore, in the prior art, drones are often used to conduct live inspections of these cables. However, in actual operation, due to the complex installation environment of these cables, drones are susceptible to external interference during optical cable surveys, resulting in low accuracy. Summary of the Invention

[0003] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art and provide a method and system for live inspection of OPGW optical cables based on drones, which is used to effectively improve the accuracy of live inspection and route survey of OPGW optical cables.

[0004] The technical solution adopted by the present invention is:

[0005] In a first aspect, the present invention provides a live inspection method for OPGW optical cables based on a drone, the method comprising:

[0006] Get the real-time flight path of the drone;

[0007] Acquire the real-time acoustic wave emission position of the UAV according to the real-time flight path;

[0008] Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0009] Obtaining, from the real-time optical cable data, a specific signal reception intensity of a specific acoustic wave signal received by the target optical cable corresponding to the real-time acoustic wave emission position; the specific acoustic wave signal being an acoustic wave signal of a specific signal emission intensity emitted by the UAV at the real-time acoustic wave emission position;

[0010] Collecting environmental noise parameters of the UAV at the real-time sound wave emission location, and collecting the real-time distance between the UAV and the target optical cable; the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0011] Obtaining a routing location of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength;

[0012] According to the routing position point of the target optical cable and the corresponding real-time optical cable data, obtaining the optical cable distance between the routing position point and the target optical cable;

[0013] Obtaining a routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0014] The specific signal transmission intensity is dynamically adjusted according to the corresponding specific signal reception intensity, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0015] By controlling the drone to emit the specific acoustic wave signal at the real-time acoustic wave emission position during flight and acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position, the specific acoustic wave signal can be extracted from the real-time optical cable data. Typically, the drone will inspect the optical cable while maintaining a certain distance above the cable. This causes the specific acoustic wave signal emitted by the drone to be interfered with by the environment, which in turn causes the specific signal reception intensity of the specific acoustic wave signal received by the target optical cable to be too low, affecting the live inspection of the target optical cable. Therefore, during the flight of the drone, the specific signal emission intensity of the specific acoustic wave signal is dynamically adjusted based on the corresponding specific signal reception intensity, the ambient noise intensity, and the real-time distance between the drone and the target optical cable. This ensures that the specific acoustic wave signal emitted by the drone can be effectively received by the target optical cable during flight, thereby generating effective optical cable data to achieve a route survey and live inspection of the target optical cable.

[0016] Furthermore, the dynamic adjustment of the specific signal transmission intensity according to the corresponding specific signal reception intensity, environmental noise parameters and the real-time distance between the UAV and the target optical cable specifically includes:

[0017] Determining whether the ambient noise intensity is greater than a preset noise threshold;

[0018] If the ambient noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity;

[0019] A parameter update instruction is transmitted to the UAV according to the predicted signal transmission strength, so that the UAV updates the specific signal transmission strength according to the predicted signal transmission strength.

[0020] By utilizing the real-time acoustic wave adjustment model obtained based on neural network pre-training, it is possible to quickly and effectively obtain the specific signal emission intensity required for the specific acoustic wave signal under the corresponding external environmental interference based on the potential relationship between the specific signal reception intensity, the environmental noise intensity and the real-time distance between the UAV and the target optical cable.

[0021] Furthermore, the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0022] The actual acoustic wave signal-to-noise ratio is expressed as:

[0023]

[0024] Where, Indicates the specific signal reception strength, Indicates the intensity of ambient noise;

[0025] The signal strength adjustment formula is expressed as:

[0026]

[0027] Where, is the maximum value of the acoustic signal that the drone can transmit, D is the real-time distance between the drone and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone and the optical cable characteristics of the target optical cable; P is the predicted signal transmission intensity; Indicates the preset target signal reception strength.

[0028] Furthermore, the method also includes dynamically adjusting the specific sound wave frequency of the specific sound wave signal according to the specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0029] In addition to affecting the specific signal reception strength of the specific sound wave signal received by the target optical cable, environmental interference will also affect the specific frequency of the specific sound wave signal. When the specific frequency of the specific sound wave signal overlaps with the frequency band of the environmental noise, it will be affected by the interference of the environmental noise. Therefore, the specific sound wave frequency of the specific sound wave signal is dynamically adjusted according to the specific signal reception strength, the environmental noise intensity and the real-time distance between the drone and the target optical cable, thereby effectively avoiding the environmental noise frequency band, improving the quality of the specific sound wave signal received by the target optical cable, and effectively realizing the live inspection of the target optical cable.

[0030] Furthermore, the specific sound wave frequency of the specific sound wave signal is dynamically adjusted according to the specific signal reception strength, the environmental noise parameter, and the real-time distance between the UAV and the target optical cable, specifically including:

[0031] Determining whether the specific signal reception strength is lower than a preset signal strength;

[0032] If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter, and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted acoustic wave frequency;

[0033] A parameter update instruction is transmitted to the drone according to the predicted sound wave frequency, so that the drone updates the specific sound wave frequency according to the predicted sound wave frequency.

[0034] Furthermore, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula. Training for optimization goals;

[0035] described Indicates the prediction of sound wave frequency Minimum ambient noise intensity under

[0036] The frequency adjustment formula is expressed as:

[0037]

[0038] Where, is the basic emission frequency of the specific sound wave signal, is a frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; is the predicted sound wave frequency.

[0039] Furthermore, obtaining the routing location of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength specifically includes:

[0040] Obtaining a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions; the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength changing from increasing to decreasing;

[0041] The signal peak position point is used as the routing position point of the target optical cable.

[0042] When the UAV approaches the target optical cable, the receiving strength of the specific signal received by the target optical cable gradually increases. When the UAV moves away from the target optical cable, the receiving strength of the specific signal received by the target optical cable gradually decreases. Therefore, by obtaining the signal peak position point, the routing position point closest to the target optical cable in each position area during the flight of the UAV can be obtained.

[0043] Furthermore, obtaining a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions specifically includes:

[0044] screening the specific signal reception strengths to obtain the specific signal reception strengths exceeding a preset specific strength;

[0045] The signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength.

[0046] In order to effectively obtain the change of the specific signal reception strength and reduce the amount of calculation, a preset specific strength is set according to the overall situation of the specific signal reception strength to filter the collected specific signal reception strength.

[0047] Furthermore, the real-time flight path is dynamically optimized according to the specific signal reception strength and the real-time environmental wind speed during the flight of the UAV.

[0048] By dynamically optimizing the real-time flight path, the UAV can better adjust the real-time flight path of the UAV, thereby better achieving live inspection of the target optical cable.

[0049] In a second aspect, the present invention provides a live inspection system for OPGW optical cables based on a drone, the system comprising:

[0050] Optical cable inspection and analysis equipment, used to connect to the target optical cable;

[0051] A drone, wherein the drone is equipped with an optical cable identifier, and the optical cable identifier is used to emit a specific acoustic wave signal;

[0052] The terminal platform is used to implement the above-mentioned live inspection method of OPGW optical cables based on drones.

[0053] According to a third aspect of the present invention, there is provided a live inspection device for OPGW optical cables based on a drone, the device comprising:

[0054] Path acquisition module, used to obtain the real-time flight path of the UAV;

[0055] An acoustic wave acquisition module, configured to acquire the real-time acoustic wave emission position of the UAV according to the real-time flight path;

[0056] A data acquisition module, configured to acquire real-time optical cable data of a target optical cable corresponding to the real-time acoustic wave emission position;

[0057] a signal detection module, configured to obtain, from the real-time optical cable data, a specific signal reception strength of a specific acoustic signal received by the target optical cable corresponding to the real-time acoustic wave emission position; the specific acoustic signal being the acoustic signal emitted by the drone at the real-time acoustic wave emission position;

[0058] An environment acquisition module is used to acquire environmental noise parameters of the UAV at the real-time sound wave emission location and to acquire the real-time distance between the UAV and the target optical cable; the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0059] A position acquisition module, configured to acquire a routing position of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength;

[0060] A distance acquisition module, configured to acquire the optical cable distance between the routing position point and the target optical cable according to the routing position point of the target optical cable and the corresponding real-time optical cable data;

[0061] A routing acquisition module, configured to acquire the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0062] The parameter adjustment module is used to dynamically adjust the corresponding specific signal transmission intensity according to the specific signal reception intensity, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. The present invention controls the unmanned aerial vehicle (UAV) to transmit the specific acoustic wave signal at the real-time acoustic wave transmitting position during flight, and obtains the real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave transmitting position, so as to extract the specific acoustic wave signal from the real-time optical cable data; and dynamically adjusts the specific signal emission intensity of the specific acoustic wave signal according to the corresponding specific signal reception intensity, environmental noise parameters, and the real-time distance between the UAV and the target optical cable during flight, so as to ensure that the specific acoustic wave signal transmitted by the UAV can be effectively received by the target optical cable during flight, thereby generating effective optical cable data, and realizing a route survey and live inspection of the target optical cable.

[0065] 2. The present invention also dynamically adjusts the specific acoustic frequency of the specific acoustic signal based on the specific signal reception strength, ambient noise parameters, and the real-time distance between the drone and the target optical cable. This allows the drone to dynamically avoid the frequency band of ambient noise, further improving the accuracy of live inspections and route surveys of the target optical cable.

[0066] 3. The present invention utilizes a neural network to pre-train the real-time acoustic wave adjustment model based on signal strength and frequency adjustment formulas. This model then uses the real-time acoustic wave adjustment model to identify environmental influences and adjust the specific signal emission intensity and specific acoustic wave frequency of the specific acoustic wave signal, thereby enabling more accurate live inspections and route surveys of the target optical cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is a flow chart of the steps of the live inspection method of the present invention.

[0068] Figure 2 This is a flow chart of the steps for dynamic optimization of specific signal emission intensity according to the present invention.

[0069] Figure 3 Flow chart of the steps for dynamic optimization of specific sound wave frequencies of the present invention.

[0070] Figure 4 This is a flow chart of the steps for dynamic optimization of specific signal emission intensity and specific sound wave frequency according to the present invention.

[0071] Figure 5 A flowchart of the steps for obtaining a routing location point of the present invention.

[0072] Figure 6 Flowchart of steps for obtaining the target optical cable of the present invention.

[0073] Figure 7This is a system structure diagram of the live inspection system of the present invention.

[0074] Figure 8 This is a structural diagram of the live inspection device of the present invention.

[0075] Figure 9 FIG. 4 is a device structure diagram of the electronic device of the present invention.

[0076] The accompanying drawings are marked with: optical cable patrol analysis equipment 11, drone 12, optical cable identifier 13, terminal platform 14, path acquisition module 21, sound wave acquisition module 22, data acquisition module 23, signal detection module 24, environment acquisition module 25, position acquisition module 26, distance acquisition module 27, route acquisition module 28, parameter adjustment module 29, memory 31, processor 32, bus 33, communication interface 34. DETAILED DESCRIPTION

[0077] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting the present invention. To better illustrate the following embodiments, some components in the accompanying drawings may be omitted, enlarged, or reduced in size, and do not represent actual product dimensions. Those skilled in the art will appreciate that some well-known structures and their descriptions may be omitted from the accompanying drawings.

[0078] Example 1

[0079] As the scale of the power grid continues to expand, the number of optical fiber composite overhead ground wires (OPGW cables) is also increasing, and the corresponding demand for inspection of these optical fiber composite overhead ground wires is also increasing. These optical fiber composite overhead ground wires are typically installed in the air via optical cable racks. Conventional optical cable inspection methods are difficult to achieve a census of these optical fiber composite overhead ground wires. Therefore, drones 12 are typically used to conduct live inspections of these optical fiber composite overhead ground wires. The live inspection of these optical fiber composite overhead ground wires mainly includes conducting a route census of the optical fiber composite overhead ground wires without interrupting power. Specifically, drones 12 are used to send acoustic signals to the optical fiber composite overhead ground wires and record the position of the drone 12 when the acoustic signals are received to achieve a route census of the optical fiber composite overhead ground wires.

[0080] However, in actual operation, since the main setting environment of the optical fiber composite overhead ground wire is the city and is constrained by conditions such as buildings, the drone 12 will be interfered with and blocked by the outside world during the optical cable survey, and will then be interfered with by various environmental factors, making it difficult for the target optical cable to receive the acoustic wave signal emitted by the drone 12, thereby reducing the efficiency of live inspection.

[0081] In order to solve the above problems in the prior art, Figure 1As shown, this embodiment provides a live inspection method for OPGW optical cables based on a drone 12, and the method may specifically include:

[0082] S1: Obtain the real-time flight path of the UAV 12;

[0083] In this embodiment, the real-time flight path represents the real-time route of the drone 12 during live inspection flights. It is understood that, in order to better perform live inspections of the target optical cable, in a preferred embodiment of this embodiment, the real-time flight path can be dynamically optimized. By dynamically optimizing the real-time flight path, the drone 12 can fly along the target optical cable while following the real-time flight path, thereby accurately performing live inspections of the target optical cable. In this embodiment, the target optical cable is the optical fiber composite overhead ground wire, i.e., the OPGW cable.

[0084] In this embodiment, the drone 12 is capable of automatic cruising and positioning, allowing the drone 12 to maintain its relative position and altitude with respect to the target optical cable as much as possible. Specifically, the relative altitude between the drone 12 and the target optical cable is 0.5 to 1 meter, and sudden drops or increases in relative altitude are avoided during flight. Preferably, the drone 12 also has excellent wind resistance and flight stability, using attitude control algorithms and multi-sensor fusion technology to ensure that the drone 12 can fly stably under different environmental conditions. In addition, the drone 12 also has excellent load-bearing and endurance capabilities, enabling the drone 12 to carry certain instruments and equipment to achieve various functions.

[0085] S2: Acquire the real-time acoustic wave emission position of the UAV 12 according to the real-time flight path;

[0086] In this embodiment, the real-time acoustic wave emission position is included in the real-time flight path. The real-time acoustic wave emission position is the position on the real-time flight path where the drone 12 emits a specific acoustic wave signal. Correspondingly, the specific acoustic wave signal is the acoustic wave signal emitted by the drone 12 at the real-time acoustic wave emission position.

[0087] In this embodiment, the drone 12 is equipped with an optical cable identifier 13. The drone 12 can generate an acoustic signal of a specific frequency through the optical cable identifier 13 and transmit it at a certain transmission time interval. The specific frequency is usually a high-frequency square wave signal to ensure that the specific acoustic signal propagates within the target optical cable and effectively generates vibration.

[0088] Specifically, the drone 12 will continue to fly along the real-time flight path. However, when it reaches the real-time sound wave emission position, the drone 12 will hover at the real-time sound wave emission position and emit the specific sound wave signal. After the specific sound wave signal is emitted, the drone 12 will continue to fly along the real-time flight path until it reaches the next real-time sound wave emission position. It is understandable that the real-time sound wave emission position is set based on the emission time interval of the specific sound wave signal, so the real-time sound wave emission position can be adjusted by adjusting the emission time interval of the specific sound wave signal.

[0089] S3: Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0090] In this embodiment, the target optical cable is connected to the optical cable line inspection and analysis device 11, and the optical cable line inspection and analysis device 11 is equipped with a Φ-OTDR system, so that the optical cable line inspection and analysis device 11 can collect signals in the target optical cable, perform real-time analysis and processing on the signals, obtain the real-time optical cable data in the target optical cable, and then extract various status information on the target optical cable from the real-time optical cable data.

[0091] Specifically, the optical cable line inspection and analysis device 11 emits a pulsed laser into the target optical cable and obtains real-time optical cable data in the target optical cable, extracts the Rayleigh scattering signal from the real-time optical cable data, and uses Φ-OTDR technology to perform precise calculations based on the phase change of the Rayleigh scattering signal, thereby reconstructing the propagation path of the specific acoustic wave signal and identifying the position and state of the specific acoustic wave signal received by the target optical cable.

[0092] S4: acquiring, from the real-time optical cable data, a specific signal reception strength of a specific acoustic wave signal received by the target optical cable corresponding to the real-time acoustic wave emission position;

[0093] As described above, after the specific acoustic wave signal is transmitted, it acts on the target optical cable and evenly diffuses along the length of the optical fiber within the target optical cable, causing the optical fiber to generate tiny mechanical vibrations. This in turn causes a slight change in the optical fiber's refractive index, affecting the propagation characteristics of light within the optical fiber, forming a Rayleigh scattering signal, which is ultimately reflected in the real-time optical cable data of the target optical cable. Therefore, the specific signal reception intensity of the specific acoustic wave signal received by the target optical cable at each time point can be obtained from the real-time optical cable data, and the location at which the target optical cable received the specific acoustic wave signal can also be obtained.

[0094] It is understandable that the specific signal emission intensity of the specific sound wave signal emitted by the drone 12 is fixed, but the specific signal reception intensity of the specific sound wave signal received by the target optical cable will change with the relationship between the drone 12 and the target optical cable, as well as environmental interference. The live inspection of the drone 12 utilizes the automatic cruise function of the drone 12 to make the drone 12 fly above the optical cable to be inspected, in a horizontal area at a relative height from the optical cable. When the drone 12 is directly above the optical cable to be inspected, or close to directly above the inspection optical cable, the specific signal reception intensity of the specific sound wave signal received by the optical cable to be inspected is the strongest.

[0095] Therefore, in theory, if the drone 12 flies in the direction where the specific acoustic signal is strongest, it means that the drone 12 is flying directly above the target optical cable, that is, it can directly find the routing direction of the target optical cable. However, during the actual flight of the drone 12, due to interference from the environment, the reception strength of the specific signal received by the target optical cable is unstable, and the routing position of the target optical cable cannot be accurately obtained. Therefore, when performing live inspections, it is necessary to dynamically adjust and optimize the parameters of the specific acoustic signal emitted by the drone 12 according to the environmental conditions of the drone 12.

[0096] S5: collecting environmental noise parameters of the UAV 12 at the real-time sound wave emission location, and collecting the real-time distance between the UAV 12 and the target optical cable;

[0097] In this embodiment, the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0098] As described above, after the specific acoustic wave signal is transmitted, it will be interfered with by environmental factors. These environmental factors can be analyzed and obtained through the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable. Therefore, in this embodiment, by collecting the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable at each real-time acoustic wave transmission position during the flight of the drone 12, the environmental conditions of the real-time acoustic wave transmission position are analyzed in real time, thereby achieving dynamic optimization and adjustment of the specific acoustic wave signal.

[0099] In a specific implementation of this embodiment, in order to better perform live inspection of the target optical cable, the specific signal receiving intensity of the specific acoustic signal received on the target optical cable must meet certain intensity requirements, so it is necessary to dynamically adjust the specific signal emission intensity based on the corresponding specific signal receiving intensity, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0100] Specifically, such as Figure 2 As shown, the dynamic adjustment of the specific signal transmission strength may specifically include:

[0101] A1: Determine whether the ambient noise intensity is greater than a preset noise threshold;

[0102] In order to improve the signal-to-noise ratio and ensure the reception strength of the specific signal received by the target optical cable, a preset noise threshold is set. When the ambient noise intensity exceeds the preset noise threshold, it means that the signal-to-noise ratio of the target optical cable is too small to meet the requirements of data analysis and processing. At this time, it is necessary to adjust the specific signal emission strength of the specific acoustic wave signal.

[0103] A2: If the ambient noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity;

[0104] Since the influence of environmental factors is very complex, the results obtained by optimization through manual calculation may not be accurate, which will affect the accuracy of the live inspection of the target optical cable. Therefore, in this embodiment, a neural network is used to pre-train a real-time acoustic wave adjustment model. Through the real-time acoustic wave adjustment model, the influence of environmental interference is analyzed according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the drone 12 and the target optical cable, and the optimal specific signal transmission strength is predicted.

[0105] Specifically, the real-time sound wave adjustment model is constructed according to a signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0106] The actual acoustic wave signal-to-noise ratio is expressed as:

[0107]

[0108] Where, Indicates the specific signal reception strength, Indicates the intensity of ambient noise;

[0109] The signal strength adjustment formula is expressed as:

[0110]

[0111] Where, is the maximum value of the acoustic signal that the drone 12 can transmit, D is the real-time distance between the drone 12 and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone 12 and the optical cable characteristics of the target optical cable; P is the predicted signal transmission intensity; Indicates the preset target signal reception strength.

[0112] A3: Transmitting a parameter update instruction to the UAV 12 according to the predicted signal transmission strength, so that the UAV 12 updates the specific signal transmission strength according to the predicted signal transmission strength.

[0113] In another specific implementation of this embodiment, the environmental noise will have a certain frequency band. When the specific sound wave frequency of the specific sound wave signal emitted by the drone 12 falls into the frequency band of the environmental noise, the specific sound wave signal will be seriously interfered with by the environmental noise, causing the signal-to-noise ratio of the specific sound wave signal received on the target optical cable to be reduced, thereby reducing the accuracy of the live inspection of the target optical cable. Therefore, it is necessary to dynamically adjust the specific sound wave frequency to prevent the specific sound wave frequency from falling into the frequency band of the environmental noise.

[0114] Specifically, such as Figure 3 As shown, the dynamic adjustment of the specific sound wave frequency may specifically include:

[0115] B1: Determine whether the specific signal reception strength is lower than a preset signal strength;

[0116] As mentioned above, if the specific sound wave frequency falls into the frequency band of ambient noise, even if the ambient noise intensity is not very high, the specific sound wave signal will be seriously interfered with by the ambient noise. Therefore, the specific signal receiving strength is judged by setting a preset signal strength. When the specific signal receiving strength is lower than the preset signal strength, it means that the specific sound wave signal is seriously interfered with by the ambient noise.

[0117] B2: If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter, and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted acoustic wave frequency;

[0118] Since the environmental noise situation is complicated, in this embodiment, a real-time sound wave adjustment model is pre-trained using a neural network. Through the real-time sound wave adjustment model, the frequency band of the environmental noise is analyzed and predicted based on the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and then the optimal specific sound wave frequency that needs to be emitted by the specific sound wave signal is predicted.

[0119] Specifically, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula. Training is performed for optimization purposes; the real-time sound wave adjustment model can be trained by supervised learning.

[0120] in, Represents the loss function minimized in the current optimization process, which is used to measure whether the optimization goal is achieved; therefore, the Indicates the prediction of sound wave frequency Minimum ambient noise intensity under

[0121] The frequency adjustment formula is expressed as:

[0122]

[0123] Where, is the basic emission frequency of the specific sound wave signal, is a frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; is the predicted sound wave frequency.

[0124] B3: transmitting a parameter update instruction to the drone 12 according to the predicted sound wave frequency, so that the drone 12 updates the specific sound wave frequency according to the predicted sound wave frequency.

[0125] In a preferred implementation of this embodiment, in order to better ensure the live inspection of the target optical cable, the above two implementations can be combined, that is, the specific signal emission intensity and specific sound wave frequency of the specific sound wave signal are dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0126] Specifically, such as Figure 4 As shown, the dynamic adjustment of the specific signal emission intensity and the specific sound wave frequency may specifically include:

[0127] C1: Determine whether the ambient noise intensity is greater than a preset noise threshold, and / or determine whether the specific signal reception intensity is lower than a preset signal intensity;

[0128] C2: If the ambient noise intensity is greater than the preset noise threshold, and / or the specific signal reception intensity is lower than the preset signal intensity, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity and a predicted acoustic wave frequency;

[0129] C3: transmitting a parameter update instruction to the drone 12 according to the predicted signal emission intensity and the predicted sound wave frequency, so that the drone 12 updates the specific signal emission intensity and the specific sound wave frequency according to the predicted signal emission intensity.

[0130] It is understandable that the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula and the frequency adjustment formula to maximize the sound wave signal-to-noise ratio and Train for optimization objectives.

[0131] S6: Obtaining a routing location of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength;

[0132] In this embodiment, if Figure 5 As shown, the specific steps of obtaining the target optical cable routing location point may include:

[0133] S61: Obtaining a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions;

[0134] As described above, in this embodiment, the real-time optical cable data in the target optical cable can be analyzed to obtain the specific signal reception strength of the specific acoustic wave signal received by the target optical cable at each time point; at the same time, the real-time acoustic wave emission position of the drone 12 at each time point can also be obtained, and then the real-time acoustic wave emission positions of the drone 12 are associated with the specific signal reception strength, thereby obtaining the change of the specific signal reception strength during the flight of the drone 12.

[0135] Specifically, in this embodiment, the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength from enhancement to weakening; as mentioned above, when the specific signal reception strength weakens, it means that the drone 12 has deviated from the routing direction of the target optical cable. It can be understood that when the change trend of the specific signal reception strength changes, that is, the turning point from enhancement to weakening, the specific signal reception strength corresponding to the turning point is the largest, so the real-time sound wave emission position corresponding to the turning point is closest to the routing direction of the target optical cable.

[0136] S62: Using the signal peak position point as the routing position point of the target optical cable.

[0137] As described above, the signal peak position point is located in the routing direction of the target optical cable, so using the signal peak position point as the routing position point can more conveniently and directly obtain the routing situation of the target optical cable.

[0138] In a preferred embodiment, before obtaining the signal peak location point based on the specific signal reception strength, the specific signal reception strength is further screened to obtain the specific signal reception strength exceeding a preset specific strength; then, the signal peak location point is obtained based on the specific signal reception strength exceeding the preset specific strength. The preset specific strength is set based on the overall situation of the specific signal reception strength and is used to screen the specific signal reception strength, thereby reducing the number of real-time sound wave emission positions used to obtain the routing location point and improving the calculation efficiency of the routing location point.

[0139] S7: acquiring an optical cable distance between the routing position and the target optical cable according to the routing position and the corresponding real-time optical cable data;

[0140] In this embodiment, the routing position point is associated with the real-time acoustic wave emission position, and then, based on the time point of the real-time acoustic wave emission position, the Φ-OTDR technology can be used to obtain the position where the specific acoustic wave signal acts on the target optical cable, that is, the optical cable distance of the target optical cable, from the corresponding real-time optical cable data, thereby realizing the association between the routing position point and the optical cable distance.

[0141] S8: Obtaining the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0142] Specifically, after associating the routing position points with the optical cable distances, all the routing position points can be fitted and connected in series according to the corresponding associated optical cable distances, and the final fitted line is the routing direction of the target optical cable.

[0143] As described above, in a preferred real-time mode of this embodiment, the real-time flight path of the drone 12 can be dynamically optimized, the purpose of which is to reduce the flight time of the drone 12 and improve the efficiency of the live inspection of the target optical cable. The dynamic optimization of the real-time flight path is to enable the drone 12 to fly as far as possible along the routing direction of the target optical cable. As described above, when the drone 12 approaches the target optical cable, the specific signal reception strength received by the target optical cable increases, and when the drone 12 moves away from the target optical cable, the specific signal reception strength decreases. Therefore, in this embodiment, the real-time flight path can be dynamically adjusted according to the specific signal reception strength.

[0144] At the same time, since live inspection of optical cables is a long-duration task, and in this embodiment, the UAV 12 is equipped with the optical cable identifier 13, which adds a certain amount of weight and reduces the endurance of the UAV 12, it is necessary for the UAV 12 to ensure smooth flight as much as possible during the flight to reduce the additional power consumption during the flight. Among them, an important factor affecting the smooth flight of the UAV 12 is the wind speed in the flight environment of the UAV 12. Therefore, in this embodiment, the real-time environmental wind speed of the UAV 12 at the real-time sound wave emission position is obtained, and then the real-time flight path of the UAV 12 can be adjusted according to the environmental wind speed, minimizing the path that will increase the flight power consumption of the UAV 12, such as flying against the wind, and improving the endurance of the UAV 12.

[0145] Furthermore, when there are multiple optical cables on the flight path of the UAV 12, the other optical cables will have a certain impact on the live inspection of the target optical cable. Therefore, in the actual operation process, it is necessary to first determine the target optical cable from the multiple optical cables, such as Figure 6 As shown, the determination of the target optical cable may specifically include:

[0146] D1: Obtaining a corresponding detection sound wave emission position for each optical cable to be detected within a preset starting range; the detection sound wave emission position is directly above the corresponding optical cable to be detected and is at a preset flight distance from the optical cable to be detected;

[0147] Similar to the specific sound wave signal, the detection sound wave signal is a sound wave signal of a certain frequency emitted by the optical cable identifier 13 carried by the drone 12, so that the signal status of the detection sound wave signal received by the target optical cable can be easily obtained from the real-time optical cable data.

[0148] D2: sending a target detection instruction to the drone 12 according to the preset detection intensity and the detection sound wave emission position, so that the drone 12 emits a detection sound wave signal of the preset detection intensity at each of the detection sound wave emission positions according to the target detection instruction;

[0149] D3: Compare the detection signal strength with the preset detection strength, and determine the target optical cable from the optical cables to be detected according to the comparison result.

[0150] Since the drone 12 emits the detection acoustic wave signal directly above each of the optical cables to be detected, and only the target optical cable is connected to the optical cable line inspection and analysis device 11, only the real-time optical cable data in the target optical cable can be obtained. Therefore, when the detection acoustic wave signal is emitted directly above the target optical cable, the detection acoustic wave signal can be obtained from the real-time optical cable data. Conversely, when the detection acoustic wave signal is emitted directly above other optical cables to be detected other than the target optical cable, the detection acoustic wave signal cannot be obtained in the real-time optical cable data, or the detection acoustic wave signal can be obtained, but the detection signal intensity is smaller than the preset detection intensity. Therefore, the target optical cable can be determined based on the comparison result of the detection signal intensity and the preset detection intensity, thereby improving the efficiency of the live inspection of the target optical cable.

[0151] It should be noted that the preset starting position can be a certain area range of the starting point of the real-time flight path of the drone 12, or it can be a certain area range of any real-time sound wave emission position on the real-time flight path of the drone 12. Regardless of which of the above situations, the purpose is to enable the drone 12 to better fly along the routing direction of the target optical cable in the future.

[0152] Example 2

[0153] Based on the same inventive concept as Example 1, Figure 7 As shown, this embodiment provides a live inspection system for OPGW optical cables based on a drone 12, and the system may include:

[0154] The optical cable inspection and analysis device 11 is used to connect to a target optical cable. In this embodiment, the target optical cable is the optical fiber composite overhead ground wire, ie, the OPGW optical cable.

[0155] A drone 12 is provided with an optical cable identifier 13, which is used to transmit a specific acoustic wave signal. In a preferred embodiment of the present invention, the optical cable identifier can be mounted externally on the drone 12. In another preferred embodiment, the optical cable identifier can be integrated into the drone 12.

[0156] The terminal platform 14 is communicatively connected to the optical cable line inspection analysis device 11 and the drone 12 respectively, and is used to implement the live inspection method of the OPGW optical cable based on the drone 12 described in Example 1.

[0157] Example 3

[0158] Based on the same inventive concept as Example 1, Figure 8 As shown, this embodiment provides a live inspection device for OPGW optical cables based on a drone 12, and the device may include:

[0159] A path acquisition module 21 is used to obtain the real-time flight path of the UAV 12;

[0160] In this embodiment, the real-time flight path represents the real-time route of the drone 12 during live inspection flights. It is understood that, in order to better perform live inspections of the target optical cable, in a preferred embodiment of this embodiment, the real-time flight path can be dynamically optimized. By dynamically optimizing the real-time flight path, the drone 12 can fly along the target optical cable while following the real-time flight path, thereby accurately performing live inspections of the target optical cable. In this embodiment, the target optical cable is the optical fiber composite overhead ground wire, i.e., the OPGW cable.

[0161] In this embodiment, the drone 12 is capable of automatic cruising and positioning, allowing the drone 12 to maintain its relative position and altitude with respect to the target optical cable as much as possible. Specifically, the relative altitude between the drone 12 and the target optical cable is 0.5 to 1 meter, and sudden drops or increases in relative altitude are avoided during flight. Preferably, the drone 12 also has excellent wind resistance and flight stability, using attitude control algorithms and multi-sensor fusion technology to ensure that the drone 12 can fly stably under different environmental conditions. In addition, the drone 12 also has excellent load-bearing and endurance capabilities, enabling the drone 12 to carry certain instruments and equipment to achieve various functions.

[0162] The acoustic wave acquisition module 22 is used to obtain the real-time acoustic wave emission position of the UAV 12 according to the real-time flight path;

[0163] In this embodiment, the real-time acoustic wave emission position is included in the real-time flight path. The real-time acoustic wave emission position is the position on the real-time flight path where the drone 12 emits a specific acoustic wave signal. Correspondingly, the specific acoustic wave signal is the acoustic wave signal emitted by the drone 12 at the real-time acoustic wave emission position.

[0164] In this embodiment, the drone 12 is equipped with an optical cable identifier 13. The drone 12 can generate an acoustic signal of a specific frequency through the optical cable identifier 13 and transmit it at a certain transmission time interval. The specific frequency is usually a high-frequency square wave signal to ensure that the specific acoustic signal propagates within the target optical cable and effectively generates vibration.

[0165] Specifically, the drone 12 will continue to fly along the real-time flight path. However, when it reaches the real-time sound wave emission position, the drone 12 will hover at the real-time sound wave emission position and emit the specific sound wave signal. After the specific sound wave signal is emitted, the drone 12 will continue to fly along the real-time flight path until it reaches the next real-time sound wave emission position. It is understandable that the real-time sound wave emission position is set based on the emission time interval of the specific sound wave signal, so the real-time sound wave emission position can be adjusted by adjusting the emission time interval of the specific sound wave signal.

[0166] A data acquisition module 23 is used to acquire real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0167] In this embodiment, the target optical cable is connected to the optical cable line inspection and analysis device 11, and the optical cable line inspection and analysis device 11 is equipped with a Φ-OTDR system, so that the optical cable line inspection and analysis device 11 can collect signals in the target optical cable, perform real-time analysis and processing on the signals, obtain the real-time optical cable data in the target optical cable, and then extract various status information on the target optical cable from the real-time optical cable data.

[0168] Specifically, the optical cable line inspection and analysis device 11 emits a pulsed laser into the target optical cable and obtains real-time optical cable data in the target optical cable, extracts the Rayleigh scattering signal from the real-time optical cable data, and uses Φ-OTDR technology to perform precise calculations based on the phase change of the Rayleigh scattering signal, thereby reconstructing the propagation path of the specific acoustic wave signal and identifying the position and state of the specific acoustic wave signal received by the target optical cable.

[0169] a signal detection module 24 configured to obtain, from the real-time optical cable data, a specific signal reception strength of a specific acoustic signal received by the target optical cable corresponding to the real-time acoustic wave emission position; the specific acoustic signal being the acoustic signal emitted by the drone 12 at the real-time acoustic wave emission position;

[0170] As described above, after the specific acoustic wave signal is transmitted, it acts on the target optical cable and evenly diffuses along the length of the optical fiber within the target optical cable, causing the optical fiber to generate tiny mechanical vibrations. This in turn causes a slight change in the optical fiber's refractive index, affecting the propagation characteristics of light within the optical fiber, forming a Rayleigh scattering signal, which is ultimately reflected in the real-time optical cable data of the target optical cable. Therefore, the specific signal reception intensity of the specific acoustic wave signal received by the target optical cable at each time point can be obtained from the real-time optical cable data, and the location at which the target optical cable received the specific acoustic wave signal can also be obtained.

[0171] It is understandable that the specific signal emission intensity of the specific sound wave signal emitted by the drone 12 is fixed, but the specific signal reception intensity of the specific sound wave signal received by the target optical cable will change with the relationship between the drone 12 and the target optical cable, as well as environmental interference. The live inspection of the drone 12 utilizes the automatic cruise function of the drone 12 to make the drone 12 fly above the optical cable to be inspected, in a horizontal area at a relative height from the optical cable. When the drone 12 is directly above the optical cable to be inspected, or close to directly above the inspection optical cable, the specific signal reception intensity of the specific sound wave signal received by the optical cable to be inspected is the strongest.

[0172] Therefore, in theory, if the drone 12 flies in the direction where the specific acoustic signal is strongest, it means that the drone 12 is flying directly above the target optical cable, that is, it can directly find the routing direction of the target optical cable. However, during the actual flight of the drone 12, due to interference from the environment, the reception strength of the specific signal received by the target optical cable is unstable, and the routing position of the target optical cable cannot be accurately obtained. Therefore, when performing live inspections, it is necessary to dynamically adjust and optimize the parameters of the specific acoustic signal emitted by the drone 12 according to the environmental conditions of the drone 12.

[0173] An environment acquisition module 25 is used to acquire environmental noise parameters of the UAV 12 at the real-time sound wave emission location and to acquire the real-time distance between the UAV 12 and the target optical cable;

[0174] In this embodiment, the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0175] As described above, after the specific acoustic wave signal is transmitted, it will be interfered with by environmental factors. These environmental factors can be analyzed and obtained through the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable. Therefore, in this embodiment, by collecting the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable at each real-time acoustic wave transmission position during the flight of the drone 12, the environmental conditions of the real-time acoustic wave transmission position are analyzed in real time, thereby achieving dynamic optimization and adjustment of the specific acoustic wave signal.

[0176] In a specific implementation of this embodiment, in order to better perform live inspection of the target optical cable, the specific signal receiving intensity of the specific acoustic signal received on the target optical cable must meet certain intensity requirements, so it is necessary to dynamically adjust the specific signal emission intensity based on the corresponding specific signal receiving intensity, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0177] Therefore, the device can dynamically adjust the specific sound wave emission intensity through the sound wave adjustment module 29;

[0178] Specifically, the dynamic adjustment of the specific signal transmission strength may include:

[0179] First, determine whether the ambient noise intensity is greater than a preset noise threshold;

[0180] In order to improve the signal-to-noise ratio and ensure the reception strength of the specific signal received by the target optical cable, a preset noise threshold is set. When the ambient noise intensity exceeds the preset noise threshold, it means that the signal-to-noise ratio of the target optical cable is too small to meet the requirements of data analysis and processing. At this time, it is necessary to adjust the specific signal emission strength of the specific acoustic wave signal.

[0181] If the ambient noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity;

[0182] Since the influence of environmental factors is very complex, the results obtained by optimization through manual calculation may not be accurate, which will affect the accuracy of the live inspection of the target optical cable. Therefore, in this embodiment, a neural network is used to pre-train a real-time acoustic wave adjustment model. Through the real-time acoustic wave adjustment model, the influence of environmental interference is analyzed according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the drone 12 and the target optical cable, and the optimal specific signal transmission strength is predicted.

[0183] Specifically, the real-time sound wave adjustment model is constructed according to a signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0184] The actual acoustic wave signal-to-noise ratio is expressed as:

[0185]

[0186] Where, Indicates the specific signal reception strength, Indicates the intensity of ambient noise;

[0187] The signal strength adjustment formula is expressed as:

[0188]

[0189] Where, is the maximum value of the acoustic signal that the drone 12 can transmit, D is the real-time distance between the drone 12 and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone 12 and the optical cable characteristics of the target optical cable; P is the predicted signal transmission intensity; Indicates the preset target signal reception strength.

[0190] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted signal transmission strength, so that the drone 12 updates the specific signal transmission strength according to the predicted signal transmission strength.

[0191] In another specific implementation of this embodiment, the environmental noise will have a certain frequency band. When the specific sound wave frequency of the specific sound wave signal emitted by the drone 12 falls into the frequency band of the environmental noise, the specific sound wave signal will be seriously interfered with by the environmental noise, causing the signal-to-noise ratio of the specific sound wave signal received on the target optical cable to be reduced, thereby reducing the accuracy of the live inspection of the target optical cable. Therefore, it is necessary to dynamically adjust the specific sound wave frequency to prevent the specific sound wave frequency from falling into the frequency band of the environmental noise.

[0192] Therefore, the device can dynamically adjust the specific sound wave frequency through the sound wave adjustment module 29

[0193] Specifically, the dynamic adjustment of the specific sound wave frequency may include:

[0194] First, determining whether the specific signal reception strength is lower than a preset signal strength;

[0195] As mentioned above, if the specific sound wave frequency falls into the frequency band of ambient noise, even if the ambient noise intensity is not very high, the specific sound wave signal will be seriously interfered with by the ambient noise. Therefore, the specific signal receiving strength is judged by setting a preset signal strength. When the specific signal receiving strength is lower than the preset signal strength, it means that the specific sound wave signal is seriously interfered with by the ambient noise.

[0196] If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter, and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted acoustic wave frequency;

[0197] Since the environmental noise situation is complicated, in this embodiment, a real-time sound wave adjustment model is pre-trained using a neural network. Through the real-time sound wave adjustment model, the frequency band of the environmental noise is analyzed and predicted based on the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and then the optimal specific sound wave frequency that needs to be emitted by the specific sound wave signal is predicted.

[0198] Specifically, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula. Training is performed for optimization purposes; the real-time sound wave adjustment model can be trained by supervised learning.

[0199] in, Represents the loss function minimized in the current optimization process, which is used to measure whether the optimization goal is achieved; therefore, the Indicates the prediction of sound wave frequency Minimum ambient noise intensity under

[0200] The frequency adjustment formula is expressed as:

[0201]

[0202] Where, is the basic emission frequency of the specific sound wave signal, is a frequency offset, which is obtained by predicting the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; is the predicted sound wave frequency.

[0203] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted sound wave frequency, so that the drone 12 updates the specific sound wave frequency according to the predicted sound wave frequency.

[0204] In a preferred implementation of this embodiment, in order to better ensure the live inspection of the target optical cable, the above two implementations can be combined, that is, the specific signal emission intensity and specific sound wave frequency of the specific sound wave signal are dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0205] Therefore, the device can dynamically adjust the specific signal emission intensity and the specific sound wave frequency through the sound wave adjustment module 29.

[0206] Specifically, the dynamic adjustment of the specific signal emission intensity and the specific sound wave frequency may include:

[0207] First, determining whether the ambient noise intensity is greater than a preset noise threshold, and / or determining whether the specific signal reception intensity is lower than a preset signal intensity;

[0208] If the ambient noise intensity is greater than the preset noise threshold, and / or the specific signal reception intensity is lower than the preset signal intensity, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal emission intensity and a predicted acoustic wave frequency;

[0209] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted signal emission intensity and the predicted sound wave frequency, so that the drone 12 updates the specific signal emission intensity and the specific sound wave frequency according to the predicted signal emission intensity.

[0210] It is understandable that the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula and the frequency adjustment formula to maximize the sound wave signal-to-noise ratio and Train for optimization objectives.

[0211] A position acquisition module 26 is configured to acquire a routing position of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength;

[0212] In this embodiment, obtaining the target optical cable routing location point may specifically include:

[0213] First, according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions, a signal peak position point is obtained;

[0214] As described above, in this embodiment, the real-time optical cable data in the target optical cable can be analyzed to obtain the specific signal reception strength of the specific acoustic wave signal received by the target optical cable at each time point; at the same time, the real-time acoustic wave emission position of the drone 12 at each time point can also be obtained, and then the real-time acoustic wave emission positions of the drone 12 are associated with the specific signal reception strength, thereby obtaining the change of the specific signal reception strength during the flight of the drone 12.

[0215] Specifically, in this embodiment, the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength from enhancement to weakening; as mentioned above, when the specific signal reception strength weakens, it means that the drone 12 has deviated from the routing direction of the target optical cable. It can be understood that when the change trend of the specific signal reception strength changes, that is, the turning point from enhancement to weakening, the specific signal reception strength corresponding to the turning point is the largest, so the real-time sound wave emission position corresponding to the turning point is closest to the routing direction of the target optical cable.

[0216] Next, the signal peak position point is used as the routing position point of the target optical cable.

[0217] As described above, the signal peak position point is located in the routing direction of the target optical cable, so using the signal peak position point as the routing position point can more conveniently and directly obtain the routing situation of the target optical cable.

[0218] In a preferred embodiment, before obtaining the signal peak location point based on the specific signal reception strength, the specific signal reception strength is further screened to obtain the specific signal reception strength exceeding a preset specific strength; then, the signal peak location point is obtained based on the specific signal reception strength exceeding the preset specific strength. The preset specific strength is set based on the overall situation of the specific signal reception strength and is used to screen the specific signal reception strength, thereby reducing the number of real-time sound wave emission positions used to obtain the routing location point and improving the calculation efficiency of the routing location point.

[0219] A distance acquisition module 27 is configured to acquire the optical cable distance between the routing position and the target optical cable according to the routing position of the target optical cable and the corresponding real-time optical cable data;

[0220] In this embodiment, the routing position point is associated with the real-time acoustic wave emission position, and then, based on the time point of the real-time acoustic wave emission position, the Φ-OTDR technology can be used to obtain the position where the specific acoustic wave signal acts on the target optical cable, that is, the optical cable distance of the target optical cable, from the corresponding real-time optical cable data, thereby realizing the association between the routing position point and the optical cable distance.

[0221] A routing acquisition module 28 is configured to acquire the routing direction of the target optical cable according to the routing location point and the corresponding optical cable distance;

[0222] Specifically, after associating the routing position points with the optical cable distances, all the routing position points can be fitted and connected in series according to the corresponding associated optical cable distances, and the final fitted line is the routing direction of the target optical cable.

[0223] As described above, in a preferred real-time mode of this embodiment, the real-time flight path of the drone 12 can be dynamically optimized, the purpose of which is to reduce the flight time of the drone 12 and improve the efficiency of the live inspection of the target optical cable. The dynamic optimization of the real-time flight path is to enable the drone 12 to fly as far as possible along the routing direction of the target optical cable. As described above, when the drone 12 approaches the target optical cable, the specific signal reception strength received by the target optical cable increases, and when the drone 12 moves away from the target optical cable, the specific signal reception strength decreases. Therefore, in this embodiment, the real-time flight path can be dynamically adjusted according to the specific signal reception strength.

[0224] At the same time, since live inspection of optical cables is a long-duration task, and in this embodiment, the UAV 12 is equipped with the optical cable identifier 13, which adds a certain amount of weight and reduces the endurance of the UAV 12, it is necessary for the UAV 12 to ensure smooth flight as much as possible during the flight to reduce the additional power consumption during the flight. Among them, an important factor affecting the smooth flight of the UAV 12 is the wind speed in the flight environment of the UAV 12. Therefore, in this embodiment, the real-time environmental wind speed of the UAV 12 at the real-time sound wave emission position is obtained, and then the real-time flight path of the UAV 12 can be adjusted according to the environmental wind speed, minimizing the path that will increase the flight power consumption of the UAV 12, such as flying against the wind, and improving the endurance of the UAV 12.

[0225] Furthermore, when there are multiple optical cables on the flight path of the drone 12, the other optical cables will have a certain impact on the live inspection of the target optical cable. Therefore, in the actual operation process, it is necessary to first determine the target optical cable from the multiple optical cables. The determination of the target optical cable may specifically include:

[0226] First, for each optical cable to be inspected within a preset starting range, a corresponding detection sound wave emission position is obtained; the detection sound wave emission position is directly above the corresponding optical cable to be inspected and is at a preset flight distance from the optical cable to be inspected;

[0227] Similar to the specific sound wave signal, the detection sound wave signal is a sound wave signal of a certain frequency emitted by the optical cable identifier 13 carried by the drone 12, so that the signal status of the detection sound wave signal received by the target optical cable can be easily obtained from the real-time optical cable data.

[0228] Then, according to the preset detection intensity and the detection sound wave emission position, a target detection instruction is sent to the drone 12, so that the drone 12 emits a detection sound wave signal of the preset detection intensity at each of the detection sound wave emission positions according to the target detection instruction;

[0229] Finally, the detection signal strength is compared with the preset detection strength, and the target optical cable is determined from the optical cables to be detected according to the comparison result.

[0230] Since the drone 12 emits the detection acoustic wave signal directly above each of the optical cables to be detected, and only the target optical cable is connected to the optical cable line inspection analysis device 11, it can only obtain the real-time optical cable data in the target optical cable. Therefore, when the detection acoustic wave signal is emitted directly above the target optical cable, the detection acoustic wave signal can be obtained from the real-time optical cable data. Conversely, when the detection acoustic wave signal is emitted directly above other optical cables to be detected other than the target optical cable, the detection acoustic wave signal cannot be obtained in the real-time optical cable data, or the detection acoustic wave signal can be obtained, but the detection signal intensity is smaller than the preset detection intensity. Therefore, the target optical cable can be determined based on the comparison result of the detection signal intensity and the preset detection intensity, thereby improving the efficiency of the live optical cable inspection.

[0231] It should be noted that the preset starting position can be a certain area range of the starting point of the real-time flight path of the drone 12, or it can be a certain area range of any real-time sound wave emission position on the real-time flight path of the drone 12. Regardless of which of the above situations, the purpose is to enable the drone 12 to better fly along the routing direction of the target optical cable in the future.

[0232] Example 4

[0233] Based on the same inventive concept as Example 1, Figure 7 As shown, this embodiment provides an electronic device, including a memory 31 and a processor 32, wherein the memory 31 stores computer-readable instructions, and the processor 32 executes the computer-readable instructions to implement the live inspection method of the OPGW optical cable based on the drone 12 of this embodiment.

[0234] Preferably, the electronic device further includes a bus 33 and a communication interface 34 , and the processor 32 , the communication interface 34 and the memory 31 are connected via the bus 33 .

[0235] Memory 31 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive. Communication between the system network element and at least one other network element is achieved via at least one communication interface 34 (which may be wired or wireless). This interface may utilize the Internet, a wide area network (WAN), a local area network (LAN), a metropolitan area network (MAN), or the like. Bus 33 may be an ISA bus, a PCI bus, or an EISA bus. Bus 33 may be divided into an address bus, a data bus, a control bus, and the like (not fully illustrated in the figure).

[0236] The processor 32 can be an integrated circuit chip with signal processing capabilities. In specific implementations, the steps in the above-mentioned method embodiments can be completed by hardware integrated logic circuits or software instructions in the processor 32. The above-mentioned processor 32 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components, which can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor can be a microprocessor, or the processor 32 can also be any conventional processor 32. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 31, and processor 32 reads the information in memory 31 and, in conjunction with its hardware, completes the steps of the method of the aforementioned embodiment.

[0237] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor 32, the computer-executable instructions prompt the processor 32 to implement the above-mentioned live inspection method of OPGW optical cable based on drone 12. The specific implementation can be found in the embodiment and will not be repeated here.

[0238] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0239] Obviously, the above embodiments of the present invention are merely examples for the purpose of clearly illustrating the technical solutions of the present invention, and are not intended to limit the specific implementation methods of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the claims of the present invention shall be included within the scope of protection of the claims of the present invention.

Claims

1. A live inspection method for OPGW optical cables based on drones, characterized in that: The method comprises: Get the real-time flight path of the drone; Acquire the real-time acoustic wave emission position of the UAV according to the real-time flight path; Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position; Obtaining, from the real-time optical cable data, a specific signal reception intensity of a specific acoustic signal received by the target optical cable corresponding to the real-time acoustic wave emission position; the specific acoustic signal being an acoustic signal of a specific signal emission intensity emitted by the UAV at the real-time acoustic wave emission position; Collecting environmental noise parameters of the UAV at the real-time sound wave emission location, and collecting the real-time distance between the UAV and the target optical cable; the environmental noise parameters include at least environmental noise intensity and environmental noise frequency; Obtaining a routing location of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength; According to the routing position point of the target optical cable and the corresponding real-time optical cable data, obtaining the optical cable distance between the routing position point and the target optical cable; Obtaining a routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance; The specific signal transmission intensity is dynamically adjusted according to the corresponding specific signal reception intensity, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

2. The live inspection method for OPGW optical cables based on drones according to claim 1 is characterized in that: The dynamically adjusting the specific signal transmission intensity according to the corresponding specific signal reception intensity, the environmental noise parameter, and the real-time distance between the UAV and the target optical cable specifically includes: Determining whether the ambient noise intensity is greater than a preset noise threshold; If the ambient noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the ambient noise parameter, and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity; A parameter update instruction is transmitted to the UAV according to the predicted signal transmission strength, so that the UAV updates the specific signal transmission strength according to the predicted signal transmission strength.

3. The live inspection method for OPGW optical cables based on drones according to claim 2, characterized in that: The real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio; The actual acoustic wave signal-to-noise ratio is expressed as: Where, Indicates the specific signal reception strength, Indicates the intensity of ambient noise; The signal strength adjustment formula is expressed as: Where, is the maximum value of the acoustic signal that the drone can transmit, D is the real-time distance between the drone and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone and the optical cable characteristics of the target optical cable; P is the predicted signal transmission intensity; Indicates the preset target signal reception strength.

4. The live inspection method for OPGW optical cables based on drones according to any one of claims 1 to 3, characterized in that: The method further includes dynamically adjusting the specific sound wave frequency of the specific sound wave signal according to the specific signal reception strength, environmental noise parameters, and the real-time distance between the UAV and the target optical cable.

5. The live inspection method for OPGW optical cables based on drones according to claim 4 is characterized in that: Dynamically adjusting the specific sound wave frequency of the specific sound wave signal according to the specific signal reception strength, environmental noise parameters, and the real-time distance between the UAV and the target optical cable, specifically including: Determining whether the specific signal reception strength is lower than a preset signal strength; If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter, and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted acoustic wave frequency; A parameter update instruction is transmitted to the drone according to the predicted sound wave frequency, so that the drone updates the specific sound wave frequency according to the predicted sound wave frequency.

6. The live inspection method for OPGW optical cables based on drones according to claim 5, characterized in that: The real-time sound wave adjustment model is constructed according to the frequency adjustment formula. Training for optimization goals; described Indicates the prediction of sound wave frequency Minimum ambient noise intensity under The frequency adjustment formula is expressed as: Where, is the basic emission frequency of the specific sound wave signal, is a frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; is the predicted sound wave frequency.

7. The live inspection method for OPGW optical cables based on drones according to claim 1, characterized in that: The step of obtaining the routing location of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength specifically includes: Obtaining a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions; the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength changing from increasing to decreasing; The signal peak position point is used as the routing position point of the target optical cable.

8. The live inspection method for OPGW optical cables based on drones according to claim 1, characterized in that: The obtaining of a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions specifically includes: screening the specific signal reception strengths to obtain the specific signal reception strengths exceeding a preset specific strength; The signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength.

9. A live inspection method for OPGW optical cables based on a drone according to any one of claims 1-3 or 7-8, characterized in that: The real-time flight path is dynamically optimized according to the specific signal reception strength and the real-time environmental wind speed during the flight of the UAV.

10. A live inspection system for OPGW optical cables based on drones, characterized in that: The system comprises: Optical cable inspection and analysis equipment, used to connect to the target optical cable; A drone, wherein the drone is equipped with an optical cable identifier, and the optical cable identifier is used to emit a specific acoustic wave signal; A terminal platform is used to implement the live inspection method of OPGW optical cables based on drones as described in any one of claims 1 to 9.

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